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

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

Enables full-text search and paginated retrieval of indexed documentation (PDFs, Markdown, text) through MCP tools, with filtering by category and file.

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.

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.

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.

Provides read-only access to a local Markdown notes directory for AI assistants, enabling full-text search, note reading, recent-note listing, statistics, indexed resources, and weekly-review prompts while enforcing path safety and output budgets.

MCP bridge to a multimodal RAG service, enabling hybrid search and Q&A over documents with tools for knowledge base queries and health checks.

Enables AI assistants to search and read Azure documentation using full-text search and section filtering, with content retrieval from Microsoft's official Azure docs repository.

Search and retrieve Agent2Agent (A2A) protocol documentation using full-text search and section filtering.

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.

A Model Context Protocol server that enables intelligent searching across documentation for 30+ programming libraries and frameworks, fetching relevant information from official sources.

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.

MCP server that integrates Apache Ranger authorization with RAG, enforcing Ranger policies to control access to knowledge bases before forwarding queries to RAG Studio.

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 a language model to query a document index through callable tools: ranked passage search, reading a chunk with its neighbours or a full document by id, index statistics, and sourced generated answers. The tools chain together, letting a model search, then read around the best chunk ids it received.

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.

Provides retrieval and analysis tools for a quantitative-finance research library, enabling whole-passage answers with verifiable citations, citation checking, entity graph exploration, and corpus inspection.

Provides full CRUD operations for Apple Notes and folders via MCP, enabling automation of notes with HTML content, folder management, and search through native AppleScript integration.

Combines GitHub releases from multiple repositories into a single product release note, with context sources for LLM synthesis.

Enables RAG over messy PDFs — extract, chunk, embed, and search scanned, multi-column, and table-heavy documents.

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 searching and reading OCI documentation using the Oracle Help Center Search API. Provides tools for finding relevant documentation URLs and reading page content.

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.

Enables semantic search and question answering over a knowledge base using hybrid retrieval and grounded answers, all running offline with no API keys.

Provides read-only network engineering analysis by parsing configs and logs to explain config changes, check CIS/PCI compliance, diagnose 802.1X issues, find embedded certificates, infer topology, and assess proposed changes before pushing them.

A local RAG MCP server that indexes project documentation and code into ChromaDB for semantic search, supporting multiple tech stacks and deployment modes.

Enables AI assistants to save, search, read, update, and delete personal notes, summarize topics, and generate quizzes from saved notes through MCP tools, resources, and prompts.