rag MCP servers & tools

Privacy-first document search server running entirely locally. Supports semantic search over PDFs, DOCX, TXT, and Markdown files with LanceDB vector storage and local embeddings - no API keys or cloud services required.

Butterbase MCP server — manage your backend: schemas, auth, functions, storage, RAG, deploys.

Ingest anything from Slack, Discord, websites, Google Drive, Linear or GitHub into a Graphlit project - and then search and retrieve relevant knowledge within an MCP client like Cursor, Windsurf or Cline.

Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources

Reasoning-based RAG system for chatting with long PDFs. Supports local and online files.

Transform 17 source types (docs, GitHub repos, PDFs, videos, Jupyter, Confluence, Notion, Slack/Discord) into AI-ready skills and RAG knowledge. 35 MCP tools for scraping, packaging, enhancing, and exporting to vector databases (Weaviate, Chroma, FAISS, Qdrant). Supports 16+ target platforms.

Long-term memory for AI agents (Claude Code/Desktop, Cursor, ChatGPT, Codex, OpenClaw) backed by a local Obsidian markdown vault. Hybrid retrieval (BM25 + ML embeddings + BGE reranker, RRF-fused), HNSW + int8 quantization, agentic RAG (HyDE + sub-question), GraphRAG-light (Louvain wikilink community detection), standalone Obsidian Bases, PDFs + Tesseract OCR. 46 tools, 19 MCP prompts, MIT, SLSA L2, zero cloud calls during serve. npx -y @oomkapwn/enquire-mcp serve --vault

Retrieve context from your Ragie (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more.

Agentic Retrieval Augmented Generation (RAG) with LanceDB

Local RAG system for Claude Code with hybrid search (BM25 + semantic), cross-encoder reranking, markdown-aware chunking, query expansion, and 28 MCP tools. Runs entirely offline with zero external servers.

Open-source team memory layer for AI coding agents. Markdown files in git as storage, a user→team→org hierarchy as the access primitive, and one cross-vendor MCP server (Claude Code, Cursor, Codex, Gemini CLI). Hybrid SQLite + sqlite-vec retrieval. Apache-2.0.

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context

Semantic search over WSO2 docs (APIM, MI, Choreo, Ballerina) via RAG and pgvector.

Make any website queryable by AI agents. Index a site then ask questions and get cited answers grounded in its content via RAG. Tools: listsites and asksite. npx -y @agentreadyweb/mcp

LLM-driven context and memory management with wide-recall + precise-reranking RAG architecture. Features multi-dimensional retrieval (vector/timeline/knowledge graph), short/long-term memory, and complete MCP support (HTTP/WebSocket/SSE).

Modern, secure MCP server for accessing ZIM format knowledge bases offline. Enables AI models to search and navigate Wikipedia, educational content, and other compressed knowledge archives with smart retrieval, caching, and comprehensive API.

Apple Developer Documentation with Semantic Search, RAG, and AI reranking for MCP clients

Map text into knowledge graphs to create a structured representation of conceptual relations and t…

聚合55+平台热门榜单数据的AI工具，支持微博、知乎、B站、GitHub等平台。适用于LLM/RAG场景。

Cross-session memory and hybrid RAG over your notes and docs. Local-first, with cited answers.

MCP server for AI agent for cybersecurity: automate assessment of documents, questionnaires & reports. Multi-format parsing, RAG knowledge base,Risks, compliance gaps, remediations.

Search your Obsidian vault to quickly find notes by title or keyword, summarize related content, a…

Local-first RAG MCP server: hybrid search over a folder of your own documents

Lightweight local RAG MCP server for semantic vector search over markdown documents. Reduces token consumption by 40x with sqlite-vec and multilingual-e5-small embeddings. Supports filtered search by directory and filename patterns.

On-device reranking that cuts RAG context tokens ~67% while keeping a relevant passage.

Grounding / hallucination guard: verify a claim against evidence (Supported/Refuted/Not Enough Evidence) with a confidence + abstain flag, for RAG and agents. npx -y eleata-verify-mcp.

MCP server for GitHub repo health, commit summaries, issue triage, and RAG Q&A.