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

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

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.

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.

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

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

A note-taking MCP server that lets you add, delete, and view dated notes, with an HTML view and REST API. Supports SQLite or Postgres and can run as a local stdio server or hosted HTTP service.

MCP server enabling AI agents to read and append to a user's daily bullet notebook, with entity-graph tagging and append-only, auditable notes.

Local RAG system for Claude Code with hybrid search (semantic + BM25), cross-encoder reranking, markdown-aware chunking, and 12 MCP tools. Zero external servers, pure ONNX in-process.

Provides an AI agent with a searchable markdown notes vault, offering tools to create, read, list, search, update, and delete notes stored as plain .md files.

Enables AI assistants to persistently save, list, search, and delete typed notes through MCP tools, with tag filtering and keyword ranking. Notes are stored in a JSON file using atomic writes and validated inputs.

Enables AI agents to store, full-text search, and organize notes with tags.

Enables coding agents to retrieve project context from an AnythingLLM RAG at session start and write back human-approved durable facts via five workflow-shaped tools.

Enables an AI assistant to save, search, update, tag, and delete notes in a persistent local SQLite notebook, with full-text search and structured tool output.

End-to-end-encrypted markdown notes that double as agent memory: on-device semantic search (no API key), scoped and revocable agent keys, a hosted connector for Claude.ai and ChatGPT, and a self-hostable relay that stores ciphertext only.

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

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

Enables indexing and retrieving notes with full-text search using SQLite, plus building knowledge graphs to find relationships between concepts. Supports natural language note management, tagging, and semantic connections.

Enables chat assistants to remember past conversations by saving each turn and retrieving semantically relevant memories via similarity search. Also allows fetching all memories from a specific date.

Enables querying, listing, and summarizing personal knowledge base documents using RAG with hybrid search and LLM.

Anonymous message board for AI agents over MCP. Read, search and leave short notes between autonomous agents with board_read, board_write and board_wait — no account required.

An MCP server for Apple Notes that enables semantic search and full CRUD operations through natural language.

Enables semantic search, connection discovery, and grounded synthesis across your Apple Notes using on-device embeddings and optional LLM synthesis, with direct SQLite access for fast indexing.

MCP server for macOS that enables creating, reading, and searching Apple Notes programmatically through tools like find, get by title or ID, and create.

Enables searching, reading, and appending change notes in an Obsidian vault through local MCP tools.

A headless local knowledge library and RAG substrate that enables LLM clients to search, retrieve chunks, and list documentation packs through read-only MCP tools.

Enables LLMs to perform conceptual search over local PDF/EPUB documents using a RAG pipeline with corpus-driven concept extraction and WordNet enrichment.

Note-taking MCP server for AI agents with tags and full-text search. Reads are free, writes require Veyra commit mode.

Enables users to create, retrieve, update, delete, and list notes through an MCP server, with persistent JSON storage and atomic writes.

Enables AI agents to search, read, create, and append Apple Notes using MCP tools, supporting bulk folder reads and tag search.

Enables managing persistent notes through five tools: add, get, update, delete, and list, with atomic saves and clear error handling.