Kwipu MCP Server
benmaster82/Kwipu
[](https://agentrank-ai.com/tool/benmaster82--Kwipu/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Ask questions across your Markdown notes using a fully local Graph RAG engine. Built for Obsidian vaults, works with any folder of Markdown files. Extracts entity-relation triples from wikilinks & YAML frontmatter, retrieves answers via hybrid search (vector + BM25 + temporal). Multilingual. No cloud. Runs on Ollama.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
benmaster82/Kwipu is a Python tool licensed under MIT. Ask questions across your Markdown notes using a fully local Graph RAG engine. Built for Obsidian vaults, works with any folder of Markdown files. Extracts entity-relation triples from wikilinks & YAML frontmatter, retrieves answers via hybrid search (vector + BM25 + temporal). Multilingual. No cloud. Runs on Ollama. Topics: llm, md, natural-language, obsidian, ollama, rag, rag-chatbot, terminal-ui, embeddings, llama-index, knowledge-graph, markdown, graph-rag, obsidian-notes, obsidian-vault, offline, offline-first, claude-code, mcp, mcp-tools.
Ranked #4012 out of 24846 indexed tools.
Ecosystem
Score Breakdown
609 stars → growing community
Last commit 2mo ago → moderate activity
2/3 issues closed → decent issue management
2 contributors → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
<p align="center"> </p> # Kwipu **English** | [简体中文](README.zh-CN.md) | [Tiếng Việt](README.vi.md) Kwipu turns a folder of documents into a property-graph RAG index that you can explore and query from an interactive terminal, a 3D web interface, or an MCP client. It works with ordinary knowledge folders and Obsidian-style vaults. > **About “fully local”:** Kwipu can run fully locally when you select a local Ollama LLM and embedding model. The intentional default LLM is `gpt-oss:20b-cloud`, which can send document chunks, retrieved context, and questions to its provider. [Choose cloud or local before indexing](#choose-cloud-or-local). ## Choose your path | I want to… | Start here | |---|---| | Ask my notes directly in a terminal | [Terminal-only use](#terminal-only-use) | | Explore the graph and ask from a browser | [Quick start: web UI](#quick-start-web-ui) | | Use my own notes or Obsidian vault | [Use your own document folder](#use-your-own-document-folder) | | Connect an AIRead full README on GitHub →
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