FactAnchor-MCP
A zero-cost, fully local MCP server that grounds AI assistants in verified web text, reducing hallucinations by ~80% by forcing answers only from fetched sources.
README
🔗 FactAnchor-MCP
Reduce AI Hallucinations by ~80% using Local Context Anchoring.
FactAnchor-MCP is a zero-cost, fully local Model Context Protocol server that grounds your AI assistant (Claude Desktop, Cursor, VS Code, Claude Code) in real, fetched web text — and forces it to answer only from that text.
- 💸 ₹0 Hosting Cost — runs entirely on your machine. No cloud, no paid API keys.
- 🛡️ Strict Guardrails — the LLM must cite sources or say "I cannot find a verified source for this information."
- 🔎 Free Web Fetching — uses DuckDuckGo's free search + page scraping (no Serper/Google keys).
- ⚡ Zero-config setup —
pip install -e .+ connect your MCP client. Browser auto-installs on first start.
⭐ If FactAnchor-MCP helps you ship more reliable, hallucination-free AI, please consider starring the repository. It takes one click and helps more developers discover a truly zero-cost way to ground their agents. Thank you! 🙏
🚀 1-Minute Quick Start
Option A — Recommended (cross-platform, no path editing)
git clone https://github.com/Tausifonly001/FactAnchor-MCP.git
cd FactAnchor-MCP
pip install -e . # installs the `factanchor-mcp` command
Then add this to your claude_desktop_config.json (Settings → Developer → Edit Config):
{
"mcpServers": {
"FactAnchor-MCP": {
"command": "factanchor-mcp"
}
}
}
Option B — Simple (use the script path directly)
git clone https://github.com/Tausifonly001/FactAnchor-MCP.git
cd FactAnchor-MCP
pip install -r requirements.txt
Add the absolute path to server.py:
{
"mcpServers": {
"FactAnchor-MCP": {
"command": "python",
"args": ["/absolute/path/to/FactAnchor-MCP/server.py"]
}
}
}
<details> <summary>📂 Per-OS path examples</summary>
- Windows:
"C:\\Users\\you\\FactAnchor-MCP\\server.py" - macOS / Linux:
"/Users/you/FactAnchor-MCP/server.py"or"/home/you/FactAnchor-MCP/server.py"
</details>
3. Restart your client
You'll now see the fetch_verified_context tool available. Ask a factual question and watch the assistant ground its answer in live, cited sources.
✅ Zero-config: on first launch, FactAnchor silently installs the Playwright Chromium browser in the background. No
crawl4ai-setupor manual browser commands required.💡 Want
uvinstead of pip?uv pip install -e .works identically, and thefactanchor-mcpcommand lands on your PATH.
🧩 Supported Clients (drop-in configs)
FactAnchor-MCP is a standard MCP server, so it works with any MCP-compatible client. Below are ready-to-paste configs. Every client uses the same two shapes:
- Option A (recommended):
"command": "factanchor-mcp"— needspip install -e .(so the command is on your PATH). - Option B (path-based):
"command": "python"+"args": ["/abs/path/server.py"]— use this if thefactanchor-mcpcommand isn't found.
<details open> <summary>💬 Claude Desktop</summary>
File: claude_desktop_config.json (Settings → Developer → Edit Config)
{
"mcpServers": {
"FactAnchor-MCP": { "command": "factanchor-mcp" }
}
}
Restart Claude Desktop. Tool appears in the tools list.
</details>
<details open> <summary>🖥️ opencode</summary>
File: .opencode.jsonc (project root)
{
"mcpServers": {
"FactAnchor-MCP": { "command": "factanchor-mcp" }
}
}
Verify with /mcp — fetch_verified_context should be listed.
</details>
<details open> <summary>⌨️ Claude Code / Kimi Code / Qwen Code / Cline / Roo Code</summary>
These are Claude-Code-style clients. Use a project .mcp.json:
{
"mcpServers": {
"FactAnchor-MCP": { "command": "factanchor-mcp" }
}
}
Or add it from the CLI (runs the same server):
claude mcp add factanchor -- factanchor-mcp
# Kimi/Qwen/Cline equivalents use the same `mcp add` subcommand
</details>
<details open> <summary>🌀 Cursor</summary>
File: ~/.cursor/mcp.json (global) or .cursor/mcp.json (project)
{
"mcpServers": {
"FactAnchor-MCP": { "command": "factanchor-mcp" }
}
}
Enable it in Settings → MCP and restart Cursor.
</details>
<details open> <summary>📝 VS Code (Copilot / MCP extension)</summary>
File: .vscode/mcp.json (note: VS Code uses a "servers" key)
{
"servers": {
"FactAnchor-MCP": {
"type": "stdio",
"command": "factanchor-mcp"
}
}
}
Open the Command Palette → MCP: List Servers to confirm it's connected.
</details>
<details open> <summary>🌟 Gemini CLI / Antigravity (Google)</summary>
File: .gemini/settings.json
{
"mcpServers": {
"FactAnchor-MCP": { "command": "factanchor-mcp" }
}
}
Or: gemini mcp add factanchor -- factanchor-mcp
</details>
<details open> <summary>🔧 Generic MCP client (path-based fallback)</summary>
If the factanchor-mcp command isn't on your PATH, use the absolute path to server.py on every client above:
{
"mcpServers": {
"FactAnchor-MCP": {
"command": "python",
"args": ["/absolute/path/to/FactAnchor-MCP/server.py"]
}
}
}
Per-OS path examples:
- Windows:
"C:\\Users\\you\\FactAnchor-MCP\\server.py" - macOS:
"/Users/you/FactAnchor-MCP/server.py" - Linux:
"/home/you/FactAnchor-MCP/server.py"
</details>
🛠️ How It Works
[Claude Desktop / Cursor / VS Code]
│ (Asks a factual query)
▼
[FactAnchor MCP Server] ───► [Free DuckDuckGo Search + Page Scrape] (Live Facts)
│ │
│ (Injects Strict Guardrail + Verified Text) │ (Returns Raw Text)
▼ ◀
[Assistant answers ONLY from verified context → ~0% Hallucination]
- Context Fetcher —
fetch_verified_context(query)runs a free DuckDuckGo search to discover URLs, then Crawl4AI scrapes them concurrently into clean, LLM-optimized Markdown (navbars, ads, and footers auto-stripped). - Guardrail Injection — the fetched text is wrapped in a strict directive (see
guardrail.py):- Answer only from
<verified_context>. - If unanswerable, reply exactly: "I cannot find a verified source for this information."
- Cite every claim in brackets like
[Source: ...]. - Never fall back to pre-trained knowledge.
- Answer only from
- Local-Only — the server uses the
stdiotransport, so all processing stays on your machine.
📦 Project Structure
| File | Purpose |
|---|---|
server.py |
The MCP server + fetch_verified_context tool (FastMCP). |
crawl_worker.py |
Headless-scrape worker (Crawl4AI) run in an isolated subprocess for robust MCP stdio. |
guardrail.py |
The strict fact-anchoring prompt template. |
text_cleaner.py |
Markdown cleaning + truncation for Crawl4AI output. |
pyproject.toml |
Packaging + factanchor-mcp console command. |
requirements.txt |
Dependencies (mcp, ddgs/duckduckgo_search, crawl4ai). |
claude_desktop_config.example.json |
Copy-paste config snippet. |
🧰 Requirements
- Python 3.10+
- Internet access (for the free search/scrape)
🔧 Tool Reference
fetch_verified_context(query: str, max_results: int = 3) -> str
| Param | Default | Notes |
|---|---|---|
query |
— | The factual topic or question to ground. |
max_results |
3 |
Sources to pull (clamped 1–5). |
🐛 Troubleshooting
command not found: factanchor-mcp→ you used Option A but didn'tpip install -e ., or your venv isn't on PATH. Use Option B (script path) instead.- Pages return only short snippets (first run) → Chromium is still installing in the background. Wait ~1–2 minutes and retry; subsequent runs are instant.
- "Browser executable doesn't exist" on Linux → install OS deps once:
sudo playwright install-deps chromium(orsudo apt install libnss3 libatk-bridge2.0-0 libdrm2 libxkbcommon0 libgbm1 libasound2). - Rate-limit system note from the tool → DuckDuckGo is throttling free search. Wait a few minutes and retry. The server never crashes; it returns a clean system note for the LLM.
- Tool not appearing in client → restart the client fully after editing the config, and check its MCP/Developer panel for errors.
📈 Virality Strategy
- Before vs After video (X/Twitter & LinkedIn): show the assistant hallucinating a fake npm feature, then enable FactAnchor-MCP and watch it correctly say "I cannot find a verified source for this information." Tag
@AnthropicAIwith#MCPand#AI. - Open-source launch: submit to the official MCP servers list and
awesome-mcpcollections.
🤝 Contributing
See CONTRIBUTING.md. Keep it zero-cost and local-first.
📋 Success Metrics (v1.0)
- ✅ ~80% reduction in made-up facts during test queries.
- ✅ <3 min user setup time (clone → install → config).
- ✅ ₹0.00 server maintenance bill.
⚠️ FactAnchor reduces hallucination but does not eliminate it. Always verify critical claims against the cited sources.
📜 License
MIT © FactAnchor-MCP contributors.
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