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Kwipu MCP Server

benmaster82/Kwipu

Score: 70.2 Rank #4012 Search & RAG
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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.

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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

Python MIT
llmmdnatural-languageobsidianollamaragrag-chatbotterminal-uiembeddingsllama-indexknowledge-graphmarkdowngraph-ragobsidian-notesobsidian-vaultofflineoffline-firstclaude-codemcpmcp-tools

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 609

609 stars → growing community

Freshness 25% 2mo ago

Last commit 2mo ago → moderate activity

Issue Health 25% 67%

2/3 issues closed → decent issue management

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 61
Description Detailed
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Freshness high impact

Last commit was 64 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

topic:mcp

From the README

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# 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 AI 
Read full README on GitHub →

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