
Ckg Mcp
io.github.YarmolukPublished by GitHub account Yarmolukv0.7.9Updated Oct 24, 2026
97-domain knowledge graphs for AI agents — 4× F1 of RAG, 11× fewer tokens. MCP-native.
Overview
Local MCP server that gives an AI assistant access to 97-domain knowledge graphs, positioned as a token-efficient alternative to RAG.
- What you can do
- Provides knowledge-graph retrieval across 97 domains for an assistant.
- Claims higher answer quality than RAG (4x F1) with far fewer tokens (11x).
- Built as an MCP-native server, so its capabilities are exposed as tools to the assistant.
- No tool list is published, so the exact operations are not documented in the supplied material.
- When to use it
- Consider it when you want an assistant to answer domain questions from structured knowledge graphs rather than vector-based retrieval, especially where token cost or retrieval precision matters.
- Requirements
- Runs as a local process on the user's machine via uvx from the PyPI package ckg-mcp; a Python/uv environment is needed. Desktop client only; no web execution. No authentication, environment variables or headers are declared.
Installation
In SourceWeft
- Open Ckg Mcp in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
This repository has no README.
Tools
0Version history
1- v0.7.9LatestSep 16, 2026
Score
25% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
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- Auth declared10 pts
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- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
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- License10 pts
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