x-bookmarks-mcp

Fully local, privacy-first MCP server that turns exported X/Twitter bookmarks into a searchable, enriched knowledge base for Claude Desktop and Claude Code.

This project explores how personal knowledge, local-first data, and MCP tooling can make AI assistants more useful without sending private bookmark data to third-party services.

Why I Built This

I save a lot of useful posts, threads, tools, and ideas on X, but bookmarks quickly become a black hole: easy to save, hard to find, and almost impossible to turn into something useful later.

I wanted a local system that could import my exported bookmarks, enrich linked content, tag topics automatically, and expose everything to Claude through MCP — while keeping the data private and under my control.

This project helped me practice MCP server design, local-first tooling, SQLite full-text search, Docker workflows, async enrichment, private data handling, and AI-assisted knowledge management.

Portfolio Highlights

• Local-first AI tooling: no X API keys, no telemetry, no third-party bookmark database.
• MCP integration: exposes 8 tools for Claude Desktop / Claude Code to search, browse, tag, and summarize bookmarks.
• Searchable knowledge base: SQLite + FTS5 full-text search across bookmark text, thread text, notes, tags, and enriched URLs.
• Async enrichment: fetches linked pages and extracts readable content for better search and summarization.
• Docker support: can run locally or through Docker/Docker Compose.
• Quality checks: tests, coverage target, formatting/linting commands, and private data scanner.

What it does

• 100% offline — no X API keys, no third-party services, no telemetry
• Full-text search across tweet text, threads, linked page content, notes, and tags
• Auto-enrichment — fetches and extracts content from URLs in your bookmarks
• MCP integration — 8 tools available to Claude for searching, browsing, tagging, and summarizing

Quick Start

1. Export your bookmarks

Use a browser extension like twitter-web-exporter to export your X bookmarks as JSON.

Save the export to data/exports/bookmarks.json.

2. Install

git clone https://github.com/p0ki/x-bookmarks-mcp.git
cd x-bookmarks-mcp
pip install -r requirements.txt

3. Import and enrich

python -m src import data/exports/bookmarks.json
python -m src enrich

4. Connect to Claude

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "xbookmarks": {
      "command": "python",
      "args": ["-m", "src.server"],
      "cwd": "/absolute/path/to/x-bookmarks-mcp"
    }
  }
}

Replace /absolute/path/to/x-bookmarks-mcp with the full path to your clone.

Installation

git clone https://github.com/p0ki/x-bookmarks-mcp.git
cd x-bookmarks-mcp
pip install -r requirements.txt

Requires Python 3.11 or higher. All dependencies are listed in requirements.txt.

Usage

CLI Commands

# Import bookmarks from JSON export
python -m src import data/exports/bookmarks.json

# Fetch and extract content from URLs in bookmarks
python -m src enrich

# Re-fetch already-enriched bookmarks
python -m src enrich --refresh

# Re-run auto-tagging on all bookmarks
python -m src retag

# Show collection statistics
python -m src stats

# Enable verbose logging
python -m src -v import data/exports/bookmarks.json

MCP Server

python -m src.server

The server runs over stdio and is designed to be launched by Claude Desktop or Claude Code.

Docker

Build the image

docker build -t xbookmarks-mcp .

Run MCP server via Docker

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "xbookmarks": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-v", "/absolute/path/to/xbookmarks/data:/app/data",
        "-v", "/absolute/path/to/xbookmarks/config.yaml:/app/config.yaml:ro",
        "xbookmarks-mcp"
      ]
    }
  }
}

Replace /absolute/path/to/xbookmarks with the full path to your local clone. Relative paths do not work here because Claude Desktop launches the container from its own working directory.

CLI via Docker Compose

# Import bookmarks
docker compose run --rm xbookmarks-cli import data/exports/bookmarks.json

# Enrich bookmarks
docker compose run --rm xbookmarks-cli enrich

# Show stats
docker compose run --rm xbookmarks-cli stats

How it works

bookmarks.json ──▶ ingest ──▶ SQLite DB
                                 │
                            enrich (async)
                            fetch URLs ──▶ extract content
                                 │
                            auto-tag (keyword rules)
                                 │
                         MCP server (stdio)
                                 │
                         Claude Desktop / Claude Code

1. Ingest — parses your JSON export, stores bookmarks in SQLite with FTS5 full-text search
2. Enrich — asynchronously fetches URLs from bookmarks, extracts readable content with trafilatura
3. Auto-tag — applies keyword-based rules from config.yaml to categorize bookmarks
4. MCP Server — exposes 8 tools over stdio for Claude to search, browse, and organize your bookmarks

MCP Tools

Configuration

Environment Variables

Tag Rules (config.yaml)

tag_rules:
  claude-code:
    - "claude code"
    - "claude-code"
  mcp:
    - "mcp"
    - "model context protocol"

Bookmarks are automatically tagged when any keyword is found in the tweet text, thread text, or enriched page content.

Development

# Clone
git clone https://github.com/p0ki/x-bookmarks-mcp.git
cd x-bookmarks-mcp

# Install dependencies
pip install -r requirements.txt

# Run tests
pytest -v

# Run tests with coverage
pytest --cov=src --cov-fail-under=80 -v

# Lint
ruff check src/ tests/
black --check src/ tests/
isort --check-only src/ tests/

# Run private data scanner
python scripts/check_private_data.py

License

MIT