knowledge-curator-mcp
A local, zero-cost MCP server that fact-checks your Markdown/Obsidian notes using a local LLM (via Ollama) and free sources like Wikipedia and DuckDuckGo, with no cloud API or API keys.
README
knowledge-curator-mcp
A local, zero-cost MCP server that fact-checks your Markdown / Obsidian notes.
It uses a local LLM via Ollama to extract claims and judge them against free, key-less sources (Wikipedia + DuckDuckGo). No cloud API, no API keys, nothing leaves your machine except the public search queries.
Unlike naive fact-checkers that count search hits, this server has the LLM read each source and decide whether it supports, contradicts, or is insufficient for the claim.
Why local?
- No cost — runs entirely on your own machine.
- Private — your notes are never sent to a cloud LLM.
- Good enough — a small instruct model (3–7B) is plenty for "does this evidence support this sentence?" entailment judgments.
Requirements
- Node.js ≥ 18 (uses the global
fetch) - Ollama running locally with an instruct model pulled:
ollama pull qwen2.5:3b # default — ~1.9GB, strong instruction-following
# alternatives: qwen3.5:4b (better), qwen2.5:7b (best, ~4.7GB)
A general instruct model is recommended over a persona/style fine-tune: fact-checking needs neutral, accurate reading, not a personality.
Install & build
npm install
npm run build
Configure your MCP client
Add to your Claude Desktop config (claude_desktop_config.json):
{
"mcpServers": {
"knowledge-curator": {
"command": "node",
"args": ["/absolute/path/to/knowledge-curator-mcp/build/index.js"],
"env": {
"OLLAMA_MODEL": "qwen2.5:3b"
}
}
}
}
Environment variables
| Variable | Default | Description |
|---|---|---|
OLLAMA_HOST |
http://localhost:11434 |
Ollama server URL |
OLLAMA_MODEL |
qwen2.5:3b |
Any installed Ollama model |
WIKI_LANG |
ja |
Wikipedia language edition (en, ja, ...) |
Tools
| Tool | What it does |
|---|---|
verify_claim |
Verify a single statement; returns a verdict + citations. |
fact_check_document |
Extract & verify claims in a file; optional auto_fix inserts notes. |
add_citations |
Fact-check a file and insert footnote citations for claims that need them. |
scan_vault_for_issues |
Walk an Obsidian vault and report files with contradicted/uncited claims. |
git_commit_corrections |
Commit corrected files to git. |
Verdicts
| Verdict | Meaning |
|---|---|
✅ verified |
Evidence clearly supports the claim. |
❌ incorrect |
Evidence clearly contradicts it (a correction is suggested). |
📝 needs_citation |
Plausible & on-topic, but evidence doesn't directly confirm. |
❓ unverifiable |
Evidence unrelated or insufficient. |
Example
"Verify: 日本の首都は大阪である。"
**Verdict**: ❌ incorrect (90% confidence)
**Reasoning**: Evidence clearly contradicts the claim that '日本の首都は大阪である'.
**Sources**: Wikipedia: 大阪市, Wikipedia: 首都圏 (日本), ...
**Suggested correction**: 日本の首都は東京である。
How it works
note.md ──▶ [LLM extracts claims] ──▶ for each claim:
├─ Wikipedia search (intro extracts)
├─ DuckDuckGo instant answer
└─ [LLM reads evidence → verdict + citation]
Limitations
- Quality scales with the model. A 3B model occasionally produces a sloppy
rationale; use
qwen3.5:4b/qwen2.5:7bfor tougher material. - Free sources are shallow: Wikipedia covers general/encyclopedic facts well, but
niche or very recent claims will often come back
unverifiable. auto_fixedits files in place — keep your notes under version control.
License
MIT
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