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

Enables semantic search and retrieval over an Obsidian vault using local or API-based embeddings, allowing AI assistants to find notes by meaning, get related content, and pull context during conversations.

Provides SQL-backed semantic search over indexed notes using pgvector, exposing tools to search and list note sources via natural language.

A Python MCP server for note management with RAG capabilities, enabling adding, searching, asking questions, summarizing, and deleting notes, using PostgreSQL and ChromaDB with Google Gemini for embeddings and generation.

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.

An MCP server that stores notes as Markdown files on your machine, enabling you to save, search, and manage notes through natural language with Claude Code or Claude Desktop.

Automatically analyzes Python codebases and generates professional documentation including README, API docs, and setup guides.

MCP server for Claude Code that generates a documentation skeleton from Git repository changes, outputting a Markdown file with placeholders for AI analysis.

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

A personal notes MCP server that allows AI assistants to create, search, edit, and manage notes stored in a local SQLite database.

Enables AI assistants to read, search, and create notes in Apple Notes on macOS via JXA, with fast bulk operations and a compact schema.

Enables AI assistants to interact with a local folder of Markdown notes, supporting listing, reading, searching, creating, and appending to notes with strict security boundaries.

MCP server for a personal notes/knowledge base that enables AI assistants to create, search, and retrieve notes using natural language. It exposes tools like create_note and search_notes, resources for each note, and a summarize_tag prompt.

Enables macOS users to read Notes' SQLite store directly for fast full-archive search and note retrieval, and to create, update, move, and delete notes through Notes.app.

Enables Claude Desktop to search, read, list, create, update, move, and delete notes from iCloud Notes on macOS.

Generates professional documentation for multi-language projects with deep code analysis, supporting frameworks like Docusaurus, MkDocs, and Sphinx, including API docs, PDF export, and OpenAPI specifications.

An MCP server for Apple Notes that can read and write checklist state, enabling agents to manage checklists in notes.

Generates professional documentation for multi-language codebases with deep AST-based code analysis, supporting Docusaurus, MkDocs, and Sphinx frameworks. Includes API documentation generation, PDF export, OpenAPI spec generation, and sales-ready documentation for code marketplaces.

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

A personal knowledge management system that transforms daily notes into organized, searchable knowledge using the Model Context Protocol.

A note-taking knowledge base MCP server that enables CRUD operations on notes with tags, resource listing/detail, and prompt-based analysis and brainstorming.