Deep Research Mcp Server — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Deep Research Mcp Server (Agent Skill) 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.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
An MCP server that gives Claude, Cursor, or any AI agent real web-research skills — web search, clean-Markdown page reading, and one-call research dossiers — with no OpenAI / Perplexity / Tavily key required. Your agent is the LLM, so it does the synthesis; this server does the hard part (finding sources, fetching them, and stripping pages down to clean, LLM-ready Markdown).
| Tool | What it does |
|---|---|
web_search | Search the web → ranked {title, url, snippet}. |
read_url | Fetch a URL → main content as clean Markdown. |
deep_research | Search → read the top N sources in parallel → a citation-ready dossier. |
Add to your MCP config (claude_desktop_config.json, Cursor mcp.json, etc.):
{
"mcpServers": {
"deep-research": {
"command": "npx",
"args": ["-y", "deep-research-mcp-server"]
}
}
}Then ask your agent: "Use deep_research to compare the top open-source vector databases in 2026 and summarize with citations."
deep_research orchestrates multi-source reading and returns a citation-ready dossier, not a single page.npx and go.deep_research skips failed sources and reports how many it read.Also available as a hosted Apify Actor: apify.com/renzomacar/deep-research-mcp. Built by Renzo Madueño.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.