Is .vscode safe to install?

SaferSkills independently audited .vscode (MCP Server) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.

CategoryWeightCategory scoreContribution

Securityprompt, exec, net, exfil, eval

35%

100

35.0 pts

Supply chainhash, typosquat, maintainer, lockfile

20%

100

20.0 pts

Maintenancestaleness, pinning, CI

15%

100

15.0 pts

TransparencySKILL.md, perms, README

15%

100

15.0 pts

Communityinstalls, verify, response

15%

100

15.0 pts

Findings & checks · 0 flagged

Securityscore 100 · 0 findings

✓—All security checks passedNo findings in this category for the latest scan.pass

Supply chainscore 100 · 0 findings

✓—All supply chain checks passedNo findings in this category for the latest scan.pass

Maintenancescore 100 · 0 findings

✓—All maintenance checks passedNo findings in this category for the latest scan.pass

Transparencyscore 100 · 0 findings

✓—All transparency checks passedNo findings in this category for the latest scan.pass

Communityscore 100 · 0 findings

✓—All community checks passedNo findings in this category for the latest scan.pass

The primary manifest — the file an agent reads to learn what this artifact does.

README.md · 1 file

README.md44.2 KB · Markdown

<img src="assets/logo-final.svg" width="120" height="120" alt="web-researcher-mcp logo"> <h1 align="center">web-researcher-mcp</h1> Your AI research assistant. It searches, reads what you can open, and checks its sources. Search the web and primary sources: SEC filings, court records, patents, clinical trials, full-text papers. Read whole pages, including pages behind your own logins, like LinkedIn and X. Check every citation, keep your research across chats, and run it all on your machine. No API key needed to start.

⭐ If you're tired of AI making things up, and web-researcher-mcp helps you, give us a star ⭐ — it helps more teams discover the project.

<a href="https://zoharbabin.com/web-researcher-mcp/"><img src="https://raw.githubusercontent.com/zoharbabin/web-researcher-mcp/main/landing/assets/demo-teaser.gif" width="720" alt="Cartoon: an AI genie pulls a citation out of a hat, and it poofs. Then real tool runs catch fake citations."></a> A cartoon of the problem, then real tool output. <a href="https://zoharbabin.com/web-researcher-mcp/">Watch the 43-second video</a>.

Get started in 30 seconds

Python users — `uvx` (no compile, any OS):

# One-time: install uv (skip if you already have it)
curl -LsSf https://astral.sh/uv/install.sh | sh        # macOS/Linux  (Windows: winget install astral-sh.uv)

claude mcp add --scope user web-researcher -- uvx web-researcher-mcp

uv fetches the right prebuilt binary for your platform and runs it — no Go, no compile, no manual PATH. Point any MCP client at uvx web-researcher-mcp. Also works with uv tool install web-researcher-mcp or pip install web-researcher-mcp.

macOS (Homebrew):

brew install zoharbabin/tap/web-researcher-mcp
claude mcp add --scope user web-researcher -- web-researcher-mcp

macOS / Linux (no package manager):

curl -fsSL https://raw.githubusercontent.com/zoharbabin/web-researcher-mcp/main/install.sh | sh

Windows (PowerShell):

powershell -ExecutionPolicy Bypass -c "irm https://raw.githubusercontent.com/zoharbabin/web-researcher-mcp/main/install.ps1 | iex"

No dev tools needed — every method ships the same signed binary (the PyPI wheels vendor it; the others download it and verify its checksum) and puts it on your PATH. The curl/PowerShell installers also register it with Claude Code automatically when the claude CLI is present; Homebrew installs the binary, so run the claude mcp add line above to connect it.

One-click install:

The Cursor / VS Code / LM Studio buttons install the zero-config uvx setup (your editor prompts to confirm before adding it; needs uv — see above). It runs DuckDuckGo web search with no API key — great to try instantly; image_search/news_search and richer providers need a key (2 min, see Configuration). Claude Desktop: download the .mcpb bundle for your platform and double-click it (Settings → Extensions), or use the uvx line above.

Using a different MCP client or want to pass API keys? See Connect to Your AI Assistant for the per-app config, and Configuration to pick a search provider.

Your AI can now search the web and primary sources, read pages (including ones behind your logins), check citations, and run multi-step research. Pick the sources you trust.

Python SDK

from web_researcher_mcp import WebResearcherClient

async with WebResearcherClient() as client:
    response = await client.web_search("CRISPR off-target effects 2024", num_results=5)
    for r in response.results:
        verified = await client.verify_citation(r.url)
        print(r.title, "—", "✓" if verified.exists else "?")

Full documentation: docs/PYTHON_CLIENT.md

Sync wrapper (for scripts and notebooks that don't use async):

with WebResearcherClient.sync() as client:
    response = client.web_search("climate change 2024")
    print(response.results[0].title)

What it does

	What it means for you
Search everywhere you'd look	Web search that you can limit to sites you trust (lenses). Dedicated tools for SEC filings, US court records, patents, clinical trials, economic data and full-text papers. Works with no API key.
Work as you	Opt-in `site_login` lets your AI read pages you can already open: LinkedIn, X, Facebook, Instagram, YouTube and more. You sign in yourself, 2FA included, in your own browser or a private login window. Your password is never saved. Logins are encrypted, per user, expire, and `site_logout` removes them. Some sites, such as LinkedIn, forbid automated access in their terms. Use it where yours allow.
Check before you rely	`verify_citation`, `audit_bibliography` and `verify_recommendation` check that a source exists, was not retracted, has a live link, and says what is claimed. They return evidence, not a verdict. Accuracy is measured on a labeled gold set (docs/TRUST_EVAL.md).
Read the whole page	PDFs, Word and PowerPoint files, YouTube transcripts and Hacker News threads, not just snippets.
Keep it and watch it	Sessions survive context loss. `research_panel` compares answers from several models. Export citations as APA, MLA, BibTeX, RIS or CSL-JSON. Opt-in saved-query monitors flag new results, memory keeps findings across chats, and team workspaces share them.
Run it yourself	Free, open source (MIT), no account. Your queries go only to the search providers you choose. Use one binary on your laptop, or a shared server for a team.
Always has a backup	Several search engines work together. If one fails, the next takes over.
Paper trail	An opt-in audit log records every tool call in a tamper-evident hash chain. Releases ship with signatures and SLSA provenance.

Why does this exist?

AI answers look sourced and often aren't.

Courts: the Charlotin database lists over 2,200 court decisions that involve AI-hallucinated content. From 2027-01-01, California SB 574 requires attorneys to personally verify every citation in a court filing.
Search: a 2026 WashU audit found that about 1 in 9 verifiable claims in Google AI Overviews was not backed by the page it cited (the authors call this an upper bound). The Tow Center at CJR tested eight AI search engines and found all of them bad at citing news.
Your work: if it gets cited, published, filed, or shown to a client, "probably real" is not enough.

What this does about it: your AI reads the real pages and records, from sources you choose, and then checks the citations. Every claim traces to a link you can open.

Works with Claude, Claude Desktop, Cursor, VS Code, Codex, Gemini CLI, and any AI assistant that supports MCP.

Who uses this

Academic researchers — "I need a literature review with real DOIs, not made-up citations"
Business analysts — "My deliverable needs sources a client can actually click and verify"
Lawyers — "If I cite a case that doesn't exist, I get fined $50,000"
Journalists — "I need to cross-check government records and court filings, not Perplexity summaries"
Medical researchers — "Clinical decisions based on a health blog could hurt someone"
Graduate students — "I spent 3 hours tracking down a citation my AI invented"
Market and sales researchers — "The best context is on pages I can only open when I'm signed in"
Enterprise teams — "Our competitive research can't go through a third party's servers"
Developers building agents — "I want search and page reading without a per-query bill or a vendor lock-in"

Same query, two answers — a typical AI search tool presents a fabricated DOI with full confidence; web-researcher-mcp verifies the citation against Crossref before it reaches you

How It Compares

	web-researcher-mcp	Built-in AI search (Perplexity, ChatGPT, Google AI)	Search APIs (Tavily, Exa, Brave)	Paper tools (Scite, Consensus, Elicit)
Checks that citations exist, are not retracted, and say what is claimed	Yes	No	No	Papers only
You pick which sources are searched	Yes (lenses)	No	Domain filters	No
SEC filings, court records, patents, clinical trials	Yes	Web pages only	Web pages only	No
Reads full pages, PDFs, YouTube transcripts	Yes	Snippets and summaries	Varies	No
Runs on your machine, no account	Yes	No	No (hosted API)	No (hosted)
Works inside your existing AI client	Yes	Separate app	Yes	Partly
Cost	Free, open source (MIT)	Subscription or bundled	Metered API key	Subscription

Based on each vendor's public docs, October 2026. If something is out of date, open an issue.

When to use what

Built-in AI search — Quick casual lookups where you don't need to cite your sources
Search APIs — You only need ranked links. Pair one with this tool (any of them plugs in as a provider) to also read pages and check citations
Paper tools — Browsing one database of academic papers
web-researcher-mcp — Anything where your reputation is attached to the research: client work, court filings, publications, grant proposals, medical decisions, journalism

What your AI can do with this

37 tools organized by outcome — catch fake citations, cross-check models, track topics over time, search filings and case law

Tool	What it does
`web_search`	Search the web — optionally restricted to only the sources you trust via lenses
`scrape_page`	Read any URL in full — web pages, PDFs, Word docs, slideshows, YouTube transcripts, Hacker News threads (read natively via the HN API); supports `mode: raw` for verbatim, unsanitized source (e.g. inspecting JSON or HTML)
`search_and_scrape`	Search and then read the best results — with quality scoring to surface the most reliable sources
`image_search`	Find images by size, type, color, or format
`news_search`	Search recent news with date controls and source filtering
`academic_search`	Find real papers with real DOIs — authors, citation counts, open-access links
`paper_fulltext`	Fetch a paper's full text in one call from its DOI, Semantic Scholar ID, or URL — no need to chain `academic_search` then `scrape_page`
`citation_graph`	Walk a paper's citation neighborhood — works it cites and works that cite it, with intent/influence signals
`patent_search`	Search patent offices (US, Europe, international) with classification codes
`filing_search`	Search SEC EDGAR for US public-company filings (10-K, 10-Q, 8-K, …) — or pull structured XBRL company facts
`legal_search`	Search US court opinions and dockets via CourtListener — real cases with real citations
`econ_search`	Look up economic data — World Bank global development indicators, OECD economic indicators, Eurostat European statistics (all keyless), and FRED US macro series (GDP, CPI, unemployment, rates; requires FRED_API_KEY)
`clinical_search`	Search ClinicalTrials.gov — clinical-trial registrations with status, phase, sponsor, and whether results are posted (discovery, not medical advice)
`monarch_search`	Query the Monarch Initiative biomedical knowledge graph — rank diseases and genes by phenotype similarity, look up disease/gene/phenotype entities, traverse gene-disease-phenotype associations
`awesome_list_search`	Search the ecosyste.ms Awesome API for community-curated "awesome-*" lists on a GitHub topic — structured, filterable coverage (stars, curated-entry count, topics) beyond free-text search
`local_search`	Search for physical places (restaurants, shops, services, points of interest) by local intent query — structured POI details and descriptions. Requires `BRAVE_API_KEY`
`brand_research`	Research a company's complete brand identity — colors (hex), logos, typography, tone of voice, and social handles — from any domain or company name. Returns structured JSON for AI content generation. No API key required; BrandFetch key optional for richer data
`company_recon`	OSINT company reconnaissance — Certificate Transparency log SANs, Wayback Machine historical URL inventory, derived subdomains, and a web-search company summary. Each phase fails soft and is independently selectable
`verify_citation`	Check a citation before you rely on it — does it exist, match a real record, and is it retracted or a dead link? Evidence, not a verdict
`audit_bibliography`	Audit a whole reference list in one pass — paste a CSL-JSON/RIS/BibTeX file (or a session) and get per-entry + corpus-level flags for retracted, dead-link, and unverifiable citations
`verify_recommendation`	Audit an AI-generated recommendation list (listicle, product ranking) for self-promotion, author conflicts of interest, domain reputation, and dead links — catches GEO-gamed picks. Evidence, not a verdict
`archive_source`	Capture a fresh Internet Archive (Wayback Machine) snapshot of a URL via Save Page Now so a cited source stays verifiable if the page later changes or disappears — returns snapshot URL + timestamp (write tool)
`sequential_search`	Multi-step deep research — your AI remembers what it already found and builds on it
`get_research_session`	Recover a research session after context loss — picks up right where you left off
`research_export`	Export a research session as a shareable report (markdown or JSON), with full per-step provenance
`format_bibliography`	Turn collected sources into a formatted bibliography — APA, MLA, BibTeX, RIS, or CSL-JSON (Zotero/EndNote/Mendeley-ready)
`research_panel`	Ask the same question to a panel of independently configured LLMs and compare answers — consensus, contradictions, and model-unique points, computed deterministically, never smoothed over by an arbiter model

Most tools above are always available. A few activate only when the right provider or config is present: citation_graph and research_panel require at least one configured backing provider; filing_search requires EDGAR_CONTACT_EMAIL; local_search requires BRAVE_API_KEY.

Opt-in tools. These stay off until you turn the feature on. Personal-data features also need recorded consent.

Tool	What it does	Turn on with
`site_login`, `site_logout`	Save or remove a login (cookies or a browser profile) so `scrape_page` can read pages behind it. Encrypted, per user.	`COOKIE_VAULT_ENABLED=true`
`monitor_query_save`, `monitor_query_check`	Save a query, then ask later for only the results that are new	`MONITORING_ENABLED=true`
`memory_save`, `memory_recall`	Keep findings across sessions, per user, with a retention limit	`MEMORY_ENABLED=true`
`workspace_contribute`, `workspace_read`	Share findings into a team workspace, with provenance	`WORKSPACES_ENABLED=true`
`get_my_analytics`	See your own usage stats	`USER_ANALYTICS_ENABLED=true`

See docs/TOOLS.md for the authoritative, CI-verified tool list and full schemas.

Ready-made research templates

The server also ships guided prompt templates your AI assistant can pull in with one click — they walk it through a proven, multi-step process so you don't have to spell out every instruction:

Template	What it guides your AI to do
`comprehensive-research`	Run a structured, multi-step deep dive on a topic
`fact-check`	Verify a claim against multiple independent sources
`competitive-analysis`	Size up a company and its market (news, patents, web)
`literature-review`	Systematically review academic literature on a topic
`brand-guidelines`	Research a brand and produce use-case-specific creative direction (landing page, email, video brief) — calls `brand_research` and interprets the structured JSON for you
`company-recon`	Deep OSINT reconnaissance on a company — maps infrastructure, filings, personnel, and public footprint
`rare-disease-research`	Rare-disease differential and gene-disease research over the Monarch knowledge graph, corroborated with literature and trials
`research-panel-factcheck`	Fact-check a claim across a panel of LLMs and chase every disagreement
`research-panel-synthesis`	Synthesize one answer across a panel of LLMs, treating contradictions as uncertainty
`curriculum-research`	Research a subject's syllabus coverage, institutional climate, and academic-freedom context — calls `web_search` with the `curriculum` lens

In most AI apps these show up wherever you pick a prompt or "/" command. The server exposes live status resources (stats://tools, stats://sessions, stats://rate-limits, stats://providers), a lens catalog (lenses://catalog), diagnostics (diagnostics://errors/recent, diagnostics://health, diagnostics://panel/spend), and a large-payload artifact store (research://artifact/{id}) so you — or your AI — can check usage, limits, and which providers are active. See docs/DEPLOYMENT.md for the full list.

Quick Start

Option 1: Homebrew (macOS / Linux — recommended)

brew install zoharbabin/tap/web-researcher-mcp
claude mcp add --scope user web-researcher -- web-researcher-mcp

Homebrew handles trust, updates, and PATH for you — no signing warnings.

Option 2: One-command install (any OS — no dev tools needed)

macOS / Linux:

curl -fsSL https://raw.githubusercontent.com/zoharbabin/web-researcher-mcp/main/install.sh | sh

Windows (PowerShell):

powershell -ExecutionPolicy Bypass -c "irm https://raw.githubusercontent.com/zoharbabin/web-researcher-mcp/main/install.ps1 | iex"

Downloads the binary, verifies its SHA-256 checksum against the signed release, puts it on your PATH, and registers it with Claude Code if installed. Customize the install location:

INSTALL_DIR=/opt/tools curl -fsSL https://raw.githubusercontent.com/zoharbabin/web-researcher-mcp/main/install.sh | sh

<details> <summary>Other install methods</summary>

AUR (Arch Linux):

# Using any AUR helper (yay, paru, etc.)
yay -S web-researcher-mcp

Or manually: git clone https://aur.archlinux.org/web-researcher-mcp.git && cd web-researcher-mcp && makepkg -si

Nix / NixOS:

# Run without installing
nix run github:zoharbabin/web-researcher-mcp

# Add to your flake inputs
nix profile install github:zoharbabin/web-researcher-mcp

See packaging/nix/flake.nix for NixOS module usage.

Continue.dev: Add to your Continue ~/.continue/config.json:

{
  "mcpServers": {
    "web-researcher": {
      "command": "uvx",
      "args": ["web-researcher-mcp"]
    }
  }
}

Or copy packaging/continue/config.json as a starting point.

WinGet (Windows):

winget install zoharbabin.web-researcher-mcp

Scoop (Windows):

scoop bucket add zoharbabin https://github.com/zoharbabin/scoop-bucket
scoop install web-researcher-mcp

Chocolatey (Windows):

choco install web-researcher-mcp

Homebrew Cask (macOS — Developer ID-signed + notarized binary):

brew install --cask zoharbabin/tap/web-researcher-mcp

The cask ships the notarized darwin binary (Gatekeeper-clean). Most users want the formula above (brew install zoharbabin/tap/web-researcher-mcp), which the bare name resolves to; pass --cask explicitly for the notarized artifact.

Go install (if you have Go):

go install github.com/zoharbabin/web-researcher-mcp/cmd/web-researcher-mcp@latest
claude mcp add --scope user web-researcher -- web-researcher-mcp

Docker:

# STDIO mode needs -i so the container's stdin stays attached for MCP JSON-RPC
docker run -i --rm \
           -e SEARCH_PROVIDER=brave \
           -e BRAVE_API_KEY=YOUR_KEY \
           docker.io/zoharbabin/web-researcher-mcp:latest

Build from source:

git clone https://github.com/zoharbabin/web-researcher-mcp.git
cd web-researcher-mcp
go build -o web-researcher-mcp ./cmd/web-researcher-mcp

</details>

Connect to Your AI Assistant

The install script registers with Claude Code automatically. For other apps, add to your AI's config file:

{
  "mcpServers": {
    "web-researcher": {
      "command": "web-researcher-mcp",
      "env": {
        "SEARCH_PROVIDER": "brave",
        "BRAVE_API_KEY": "YOUR_BRAVE_API_KEY"
      }
    }
  }
}

No key yet? Leave env out. DuckDuckGo works with no setup.

Other clients:

Client	Where
Gemini CLI	`gemini mcp add web-researcher uvx web-researcher-mcp`, or the JSON block above in `~/.gemini/settings.json`
Codex	`~/.codex/config.toml`: `[mcp_servers.web-researcher]` with `command = "uvx"` and `args = ["web-researcher-mcp"]`

Swap in any provider from the Configuration table by setting SEARCH_PROVIDER and that provider's key. Done — your AI assistant now has access to all research tools.

Configuration

30+ providers across web, academic, patent, legal, economic, and clinical domains — with automatic failover and STDIO/HTTP·Docker deployment

No API key required. DuckDuckGo is the built-in zero-config fallback — install and go. To raise result quality and unlock image/news search, add any one of the providers below. They're all optional and interchangeable — pick whichever you already use or prefer; the server treats them equally.

Search providers

Set SEARCH_PROVIDER=<name> and supply that provider's key. Every provider works with search lenses, and any of them can be combined for automatic failover (see Search Providers).

Provider	`SEARCH_PROVIDER`	Key variable(s)	Get a key
DuckDuckGo	`duckduckgo`	none	Built in — zero config
Google PSE	`google`	`GOOGLE_CUSTOM_SEARCH_API_KEY` + `GOOGLE_CUSTOM_SEARCH_ID`	cloud console + engine
Brave	`brave`	`BRAVE_API_KEY`	brave.com/search/api
Serper	`serper`	`SERPER_API_KEY`	serper.dev
SearchAPI.io	`searchapi`	`SEARCHAPI_API_KEY`	searchapi.io
You.com	`youcom`	`YOUDOTCOM_API_KEY`	you.com/docs/api-reference/search/v1-search
SearXNG	`searxng`	`SEARXNG_URL`	self-hosted
Tavily	`tavily`	`TAVILY_API_KEY`	app.tavily.com
Exa	`exa`	`EXA_API_KEY`	dashboard.exa.ai
Hacker News	`hackernews`	none	Built in — zero config (HN Algolia index)
Reddit	`reddit`	none	Built in — zero config (public RSS)
Bluesky	`bluesky`	none	Built in — zero config (public AT Protocol API)
GitHub	`github`	none (`GITHUB_TOKEN` optional, raises rate limit)	Built in — zero config (public REST Search API)
Xquik	`xquik`	`XQUIK_API_KEY`	dashboard.xquik.com

Google PSE is ending. Google closed its Custom Search JSON API to new customers and shuts it down on 2027-01-01 (Google). Existing keys work until then. For new setups, use Brave, Serper, SearXNG, or another provider.

Each provider has its own free tier, signup flow, and capability mix (images, news, freshness). See [docs/PROVIDERS.md](docs/PROVIDERS.md) for a full comparison (index classification, capability matrix, quick-pick guide) and [docs/API_SETUP.md](docs/API_SETUP.md) for step-by-step key setup. Set up more than one and the server fails over automatically — see Search Providers.

When SEARCH_PROVIDER is unset, the server uses Google if its keys are present and otherwise falls back to the zero-config DuckDuckGo provider — so it always works out of the box, with or without keys.

Academic search providers (OpenAlex, CrossRef) accept a contact email to unlock faster access via the polite pool — no registration, just an email. See docs/API_SETUP.md for setup and docs/DEPLOYMENT.md for the full variable reference.

With these set, academic_search returns real papers with DOIs, authors, citation counts, and open-access PDF links. Without them, it still works but uses web search as a fallback.

Patent Search (Optional)

Patent providers (EPO, USPTO, The Lens) require API keys for structured patent data. See docs/API_SETUP.md for step-by-step setup and docs/DEPLOYMENT.md for the full variable reference.

With these, patent_search returns structured patent data with classification codes, dates, and inventors. Without them, it falls back to web search.

<details> <summary>Advanced: HTTP mode, OAuth, and all other settings</summary>

HTTP mode, OAuth, rate limiting, cache, scraping, and observability settings are documented in docs/DEPLOYMENT.md.

</details>

Under the Hood

<details> <summary>Architecture (for developers and contributors)</summary>

The full per-package map and the layered diagram (MCP transports → tool dispatch → service layer → infrastructure) live in [ARCHITECTURE.md](ARCHITECTURE.md) — kept in one place to avoid drift.

<details> <summary>Design Principles (for developers)</summary>

Zero global state -- all dependencies injected via constructors
Interface-driven -- every external dependency behind an interface for testing and swapping
Bounded concurrency -- explicit semaphores for external API calls
Defense in depth -- SSRF protection, rate limiting, content sanitization at every layer
Fail loud -- errors returned, never swallowed; validation at boundaries

</details>

Search Providers

You choose which search engine powers your research. All of them work with lenses.

Provider	Whole-Web	Images	News	Notes
DuckDuckGo	Yes	—	—	Zero-config default (no API key needed); rate-limited for heavy use
Google PSE	Yes	Yes	Yes	Closed to new customers; ends 2027-01-01. Free tier: 100 queries/day
Brave Search	Yes	Yes	Yes	Independent index; free tier available
Serper.dev	Yes	Yes	Yes	Google-identical results
SearXNG	Yes	Yes	Yes	Self-hosted, privacy-first, air-gapped deployments
SearchAPI.io	Yes	Yes	Yes	Unified API with multiple engine backends
You.com	Yes	—	Yes	Web and news search via the You.com API
Tavily	Yes	—	Yes	AI-agent search; clean, LLM-ready content
Exa	Yes	—	Yes	Neural/semantic search; also backs `academic_search` and the optional paid scrape tier
Hacker News	HN only	—	Yes	Zero-config (HN Algolia index); searches HN threads, not the full web
Reddit	Reddit only	—	Yes	Zero-config (public RSS); searches Reddit posts, not the full web
Bluesky	Bluesky only	—	—	Zero-config (public AT Protocol API); searches Bluesky posts, not the full web
GitHub	GitHub only	—	Yes	Zero-config (public REST Search API); searches issues/PRs, not the full web
Xquik	X/Twitter only	—	Yes	Searches X posts, not the full web; needs `XQUIK_API_KEY`

Multiple Providers (recommended)

Set up multiple search engines so if one has issues, your research doesn't stop:

export SEARCH_ROUTING=brave,serper,duckduckgo

If Brave is down, it automatically tries Serper. If Serper is rate-limited, it falls through to DuckDuckGo. Your research just works.

See [docs/PROVIDERS.md](docs/PROVIDERS.md) for a full provider comparison (index classification, capabilities, free tiers) and docs/DEPLOYMENT.md for advanced routing options (per-topic routing, patent-specific providers, etc.).

Single Provider

If you only have one search API key, that works too — just set it up and go.

<details> <summary>Provider Setup Examples</summary>

Multi-provider routing (recommended):

export SEARCH_ROUTING=brave,serper
export BRAVE_API_KEY=BSAxxxxxxxxxx
export SERPER_API_KEY=...

Single provider — Brave Search:

export SEARCH_PROVIDER=brave
export BRAVE_API_KEY=BSAxxxxxxxxxx

Single provider — SearXNG (self-hosted, privacy-first):

export SEARCH_PROVIDER=searxng
export SEARXNG_URL=http://localhost:8080

Single provider — Exa:

export SEARCH_PROVIDER=exa
export EXA_API_KEY=...

Single provider — Brave:

export SEARCH_PROVIDER=brave
export BRAVE_API_KEY=BSA...

Any provider from the Configuration table works the same way — set SEARCH_PROVIDER and its key(s).

</details>

Search Lenses

Search lenses let you control which websites your AI is allowed to search. Instead of searching the entire web (and getting blogs, spam, and AI-generated junk), a lens restricts results to only the sources you trust for that topic.

Built-in Lenses

Lens	Focus
`docs`	Official documentation and API references only
`academic`	Preprint servers, repositories, open-access journals
`academic-extended`	Preprint servers, OA aggregators, and repositories beyond core journal indexes
`biomed`	Rare-disease and biomedical knowledge-graph sources — ontology portals, gene-disease databases, curated rare-disease registries
`clinical`	Clinical trials, drug safety, evidence-based medicine
`curriculum`	Academic curriculum data, institutional free speech climate, and global education statistics
`security`	CVEs, advisories, vulnerability research
`investigative_records`	Public records, corporate filings, FOIA
`programming`	Code docs, tutorials, Q&A
`programming-goggle`	Developer-first results re-ranked by Brave's Programming Goggle — surfaces docs, repos, and authoritative technical content (requires Brave)
`devops`	Infrastructure and operations — Kubernetes, Docker, Terraform, cloud, CI/CD
`news`	Current events, journalism
`tech`	Technology industry
`legal`	Law, cases, statutes
`medical`	Health, medicine
`finance`	Markets, filings
`science`	Research, papers
`government`	Policy, regulations
`osint`	Open-source intelligence — public records, corporate registries, social footprint, infrastructure
`awesome-lists`	Community-curated "awesome-*" lists on GitHub — PR-reviewed tool and resource collections across every domain

You can also create your own lenses for any field — just list the domains you trust.

How it works

When you (or your AI) use a lens, results come only from the sites in that lens. For example, using the medical lens means your AI searches PubMed, WHO, NIH, and other clinical sources — never health blogs or supplement ads.

Your AI uses lenses automatically when you ask it to. For example: "Search for recent findings on SGLT2 inhibitors using the clinical lens."

<details> <summary>Creating Your Own Lens</summary>

Create a directory for your custom lenses and add a JSON file for each one:

{
  "name": "my-industry",
  "description": "Only searches sources I trust for my field",
  "domains": [
    "trusted-source.com",
    "industry-journal.org",
    "official-database.gov"
  ],
  "cx": ""
}

Then point the server to your lens directory:

export CUSTOM_LENSES_PATH=/path/to/my-lenses

Your AI will now have my-industry as an available lens. Custom lenses load after the built-in set — a custom lens with the same name as a built-in one overrides it. You can add up to ~10 domains per lens.

Advanced options (optional — most users can ignore these):

cx — Marks the lens as scoped by a Google Programmable Search Engine. The lens then skips site: injection. Set that engine as the global GOOGLE_CUSTOM_SEARCH_ID. Google's API ends 2027-01-01, so prefer domains lenses
goggle — A Brave Goggle URL for server-side re-ranking (Brave only)

</details>

Privacy & Security

Your research queries go directly from your machine to the search provider you chose. They never pass through our servers (we don't have servers). The tool runs entirely on your computer.

Features that store personal data (saved logins, memory, analytics, workspaces) are off by default. Each needs an opt-in, a recorded consent, and encrypted storage.

<details> <summary>Technical security details (for enterprise / compliance teams)</summary>

SSRF protection — blocks internal network access, cloud metadata endpoints, DNS rebinding attacks
OAuth 2.1 (HTTP mode) — JWKS token validation, per-tenant isolation, audience/issuer validation
Rate limiting (HTTP mode) — per-tenant + global limits to protect upstream APIs
Content sanitization — HTML cleaned via whitelist policy, deduplication, quality scoring

For the full threat model, see docs/SECURITY.md.

</details>

Setup for Each AI App

Claude Code

Add to your MCP config (~/.claude.json). Set SEARCH_PROVIDER and the matching key for whichever provider you use (see the Configuration table) — this example uses Brave:

{
  "mcpServers": {
    "web-researcher": {
      "command": "/path/to/web-researcher-mcp",
      "env": {
        "SEARCH_PROVIDER": "brave",
        "BRAVE_API_KEY": "BSA..."
      }
    }
  }
}

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "web-researcher": {
      "command": "/path/to/web-researcher-mcp",
      "env": {
        "SEARCH_PROVIDER": "brave",
        "BRAVE_API_KEY": "BSA..."
      }
    }
  }
}

Cursor

Add to .cursor/mcp.json in your project root:

{
  "mcpServers": {
    "web-researcher": {
      "command": "/path/to/web-researcher-mcp",
      "env": {
        "SEARCH_PROVIDER": "brave",
        "BRAVE_API_KEY": "BSA..."
      }
    }
  }
}

HTTP Mode (Teams / Shared Server)

For teams that want one shared instance everyone connects to:

PORT=3000 \
OAUTH_ISSUER_URL=https://auth.example.com \
OAUTH_AUDIENCE=https://api.example.com \
./web-researcher-mcp

Then connect any AI app to http://localhost:3000/mcp/.

<details> <summary>Docker Compose Example</summary>

services:
  web-researcher:
    image: zoharbabin/web-researcher-mcp
    ports:
      - "3000:3000"
    environment:
      PORT: "3000"
      SEARCH_PROVIDER: brave
      BRAVE_API_KEY: ${BRAVE_API_KEY}

</details>

Note: Tool behavior is identical across all connection modes (STDIO and HTTP). The only differences are auth (HTTP requires OAuth) and rate limiting (HTTP enforces per-tenant limits; STDIO has only upstream API quotas). See docs/DEPLOYMENT.md for details.

Performance

Searches come back in under a second. Previously-seen results are cached so repeats are instant. Full article extraction works on 95%+ of the web — including sites that try to block bots. Heavy JavaScript sites get a real browser behind the scenes (automatic, no setup needed).

Development

go build -o web-researcher-mcp ./cmd/web-researcher-mcp   # Build
go test -race ./...                                        # Test (with race detector)
make verify                                                # Full CI gate (see Makefile for steps)

The lint, gosec, and govulncheck tools are pinned as go.mod tool directives, so make verify runs them at the exact versions CI uses (no global installs needed). Branch protection requires the Lint, Test, Security, and E2E checks to pass.

See CONTRIBUTING.md for the full development workflow, code style guide, and PR process.

Troubleshooting

<details> <summary>Server starts but tools fail with "API key" errors</summary>

The server starts even with missing credentials (to allow MCP handshake). Set your API keys in the env block of your MCP client config, not in your shell profile.

</details>

<details> <summary>Some pages come back empty</summary>

For JavaScript-heavy sites, the tool uses a real browser (Chromium). With the binary install it auto-downloads on first use (~200MB). If you already have Chrome installed, set CHROME_PATH to point to it. The Docker image ships with Chromium bundled (CHROME_PATH preset), so JavaScript rendering works out of the box — no download.

</details>

<details> <summary>Cache serving stale results after upgrade</summary>

The disk cache lives at your OS cache directory (e.g., ~/Library/Caches/web-researcher-mcp/ on macOS, ~/.cache/web-researcher-mcp/ on Linux). Delete that directory to clear it, or set CACHE_DIR to a custom path.

</details>

<details> <summary>Hitting search limits (429 errors)</summary>

If your provider's free tier runs out:

Switch to a different provider — set SEARCH_PROVIDER to any other option (see Configuration); each has its own free tier
Set up multiple providers (e.g. SEARCH_ROUTING=brave,serper) — if one is rate-limited, it automatically falls through to the next
Or upgrade your provider's plan

</details>

<details> <summary>macOS: "Failed to reconnect" / error -32000 after a manual update</summary>

This happens only if you replaced the binary by copying new bytes over the existing file in place (cp new /path/to/web-researcher-mcp). On Apple Silicon, macOS caches the binary's ad-hoc code signature against the file, and overwriting it in place can make the next launch get killed before it starts. The official installers (Homebrew, the one-command install.sh, and the Claude Code plugin) avoid this by installing to a fresh file. To fix a manual install, replace it cleanly and re-sign:

rm -f /path/to/web-researcher-mcp
cp /path/to/new-build /path/to/web-researcher-mcp
codesign --force -s - /path/to/web-researcher-mcp   # ad-hoc re-sign

Then reconnect your client. (Re-running install.sh does this correctly for you.)

</details>

Contributing

Contributions are welcome. Please see CONTRIBUTING.md for code style guidelines, development workflow, and how to submit pull requests.

Documentation

Document	Description
ARCHITECTURE.md	Design decisions, technology stack, dependencies
CONTRIBUTING.md	Development setup, code style, PR workflow
docs/TOOLS.md	Tool specifications and parameter schemas
docs/EXAMPLES.md	Usage examples with JSON tool calls
docs/API_SETUP.md	Search provider API key setup for all providers
docs/SECURITY.md	Threat model, SSRF, auth, compliance (SOC2/GDPR/FedRAMP)
docs/PRIVACY.md	What data goes where, third-party processors, retention
docs/DEPLOYMENT.md	Build, Docker, Kubernetes, client configs, scaling
docs/PYTHON_CLIENT.md	Python SDK — WebResearcherClient reference, sync wrapper, installation
docs/LESSONS_LEARNED.md	Node.js to Go migration story and lessons
docs/SESSION_PERSISTENCE.md	How sessions survive context loss — design, data flow, citations
docs/MIGRATION.md	Migrating from the deprecated google-researcher-mcp

License

MIT

Built by <a href="https://zoharbabin.com">Zohar Babin</a>, with <a href="https://go.dev">Go</a> and the <a href="https://modelcontextprotocol.io/">Model Context Protocol</a>

.vscode— mcp server

Is .vscode safe to install?

Get started in 30 seconds

Python SDK

What it does

Why does this exist?

Who uses this

How It Compares

When to use what

What your AI can do with this

Ready-made research templates

Quick Start

Option 1: Homebrew (macOS / Linux — recommended)

Option 2: One-command install (any OS — no dev tools needed)

Connect to Your AI Assistant

Configuration

Search providers

Patent Search (Optional)

Under the Hood

Search Providers

Multiple Providers (recommended)

Single Provider

Search Lenses

Built-in Lenses

How it works

Privacy & Security

Setup for Each AI App

Claude Code

Claude Desktop

Cursor

HTTP Mode (Teams / Shared Server)

Performance

Development

Troubleshooting

Contributing

Documentation

License

Audit the pieces. Scan the whole. Decide.

Is .vscode safe to install?

Get started in 30 seconds

Python SDK

What it does

Why does this exist?

Who uses this

How It Compares

When to use what

What your AI can do with this

Ready-made research templates

Quick Start

Option 1: Homebrew (macOS / Linux — recommended)

Option 2: One-command install (any OS — no dev tools needed)

Connect to Your AI Assistant

Configuration

Search providers

Academic Search (Optional — no signup needed)

Patent Search (Optional)

Under the Hood

Search Providers

Multiple Providers (recommended)

Single Provider

Search Lenses

Built-in Lenses

How it works

Privacy & Security

Setup for Each AI App

Claude Code

Claude Desktop

Cursor

HTTP Mode (Teams / Shared Server)

Performance

Development

Troubleshooting

Contributing

Documentation

License

Audit the pieces. Scan the whole. Decide.