llm-wiki-mcp

HTTP MCP server providing wiki knowledge base tools (query and ingest), powered by llm-wiki-agent skills via the Claude Agent SDK.

Architecture

MCP Client (Claude Code, etc.)
    ↓ HTTP / stdio
llm-wiki-mcp (FastMCP server)
    ↓ Claude Agent SDK (query())
Claude Code agent session
    ↓ auto-loaded skills
llm-wiki-agent (.claude/commands/)
    ↓ /wiki-ingest, /wiki-query
Wiki markdown files (entities, concepts, sources, syntheses)

The MCP server is a thin layer. The actual knowledge extraction, entity/concept page creation, cross-referencing, and contradiction detection are all handled by the llm-wiki-agent skill running inside a Claude Agent SDK session.

Quick Start

# Install dependencies
uv sync

# Clone llm-wiki-agent skills
git clone --depth 1 https://github.com/SamurAIGPT/llm-wiki-agent.git skills/llm-wiki-agent

# Set your Anthropic API key
export ANTHROPIC_API_KEY=sk-ant-...

# Start the server (HTTP mode, default port 8080)
uv run llm-wiki-mcp

# Or use stdio mode
uv run llm-wiki-mcp --transport stdio

Tools

ingest

Ingest a document (file path or URL) into a named wiki. The llm-wiki-agent skill handles reading, converting, extracting knowledge, and building cross-referenced pages.

ingest(wiki_name="my-research", source="raw/papers/attention-is-all-you-need.md")
ingest(wiki_name="my-research", source="report.pdf")

query

Query a wiki with a natural language question. The skill searches all wiki pages and synthesizes an answer with [[wikilinks]].

query(wiki_name="my-research", question="What are the main approaches to attention?")

Docker

docker build -t llm-wiki-mcp .
docker run -e ANTHROPIC_API_KEY=sk-ant-... -p 8080:8080 -v ./wikis:/data/wikis llm-wiki-mcp