"Notes or documentation related to 'rag'" matching MCP servers:

Enables AI assistants to fetch, index, and perform semantic RAG-based searches on API documentation from various sources. It provides tools for hybrid search and collection management, allowing users to access up-to-date documentation from projects like Gemini and FastMCP.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

Provides full-text search and retrieval tools for Apache Spark documentation using SQLite FTS5 with BM25 ranking. It enables AI assistants to efficiently search, filter by section, and read specific Spark documentation pages.

Minimal RAG-over-a-corpus MCP retrieval: search_knowledge returns cited chunks. Local embeddings.

A server that enables Claude to search and access documentation from popular libraries like LangChain, LlamaIndex, and OpenAI directly within conversations.

Enables AI assistants to search and retrieve content from local Markdown notes using term-frequency scoring.

Personal knowledge management server with note CRUD, semantic search, git versioning, wiki linking, tags, glossary, and fact graph capabilities.

A personal knowledge management MCP server that enables capturing daily notes, meeting summaries, and ideas through Claude, with full-text search, git sync, and git activity tracking across projects.

A local note-taking server that provides intelligent management of markdown files through hybrid keyword and AI-powered semantic search. It enables users to create, find, and retrieve notes using advanced indexing, vector embeddings, and a built-in web viewer.

Enables semantic search over local Markdown documentation using hybrid retrieval combining embeddings, keyword search, and graph traversal with automatic file watching and zero-configuration setup.

Enables AI assistants like Claude to search and reference your Apple Notes using semantic search and RAG capabilities, with fully local execution and no API keys required.

A CLI tool and MCP server that turns markdown documentation into a searchable, queryable knowledge base.

Enables AI agents to search and query documentation from git repositories using hybrid search and structured metadata queries.

Enables searching a knowledge base and asking grounded questions with hybrid retrieval, reranking, and cited answers.

MCP server for Fathom Works RAG that exposes a self-hosted knowledge base as tools for any MCP-capable LLM to query documents, manage libraries, and ingest files or URLs.

Enables semantic search over personal study notes by exposing a vector search tool that Claude Desktop can call to retrieve relevant note content and synthesize grounded answers.

Enables indexing local documents (PDF, Markdown, text, code) into a knowledge base and querying them via semantic search using local embeddings, all running privately on your machine.

Enables local-first hybrid knowledge retrieval from authorized Markdown and plain-text files, combining full-text and vector search with reranking and traceable source references via a single search tool.

Exposes a RAG document-search API as MCP tools (rag_health, rag_ingest, rag_query), enabling agents to index and search markdown documents with cited results through natural language.

A local-first document retrieval MCP server that enables AI coding tools like Codex to search private local documents via semantic search and keyword boost, supporting ingestion of PDF, DOCX, TXT, Markdown, and HTML files.