MCP servers and skills: search, filter by where they run, and compare.
1–24 of 190 tools for “document-ingestion”
Clear allAI-powered StartUp Accelerator Engine built with Next.js, LangChain, PostgreSQL + pgvector. Upload, organize, and chat with documents. Includes predictive missing-document detection, role-based workfl
SkillApache-2.0★ 894No key
AI agent for market and audience research: web research with citations, document ingestion for RAG, audience/persona profiling — backed by real web-search and document APIs
SkillMIT★ 2Few starsNo key
Commercial real estate AI agent skills for CRE underwriting, due diligence, financing, brokerage, legal and closing workflows - standalone prompts for Claude Code, ChatGPT, Cursor, and other LLMs.
SkillApache-2.0★ 120No key
FHIR MCP Server for handling medical data standard.
PythonMIT★ 102No key
Extension of the original MemPalace with document ingestion, image assets, MCP tooling, and folder watch.
PythonMIT★ 1Few starsNo key
Model Context Protocol server for advanced RAG with Knowledge Graphs
PythonMIT★ 6No key
TypeScript SDK for AI apps — one API over Vercel AI SDK, LangChain, LangGraph, LlamaIndex, Langfuse, Inngest, MCP and Drizzle.
SkillMIT★ 1Few starsNo key
Local SQLite memory for LangGraph agents, with provenance, TTL, export, and MCP.
PythonMIT★ 17No key
Open-source, self-hosted AI gateway for multi-tenant orgs: OpenAI-compatible LLM routing, RAG & vector stores, MCP hub, GPU fleet (MIG slicing), sandboxed coding agents, AI red-teaming & guardrails, a
SkillAGPL-3.0★ 26No key
Self-hosted document intelligence for RAG — parse, classify, split, and extract from PDF/DOCX/PPTX and images: searchable, cited, retrieval-ready chunks and schema-driven extraction
PythonMIT★ 5No key
Document ingestion add-on for memkeeper: walk a folder, chunk markdown, and feed it into memkeeper's isolated document store. Standalone, write-side only; no LLM required for ingestion (optional local
SkillApache-2.0★ 1Few starsNo key
Universal document ingestion engine — any file in, agent-ready Markdown out. PDF, Word, PowerPoint, Excel, HTML, EPUB and more, with structure preserved, page anchors you can cite, and an MCP server.
PythonApache-2.0Few starsNo key
Install once, talk to your agent. ThinkWiki turns documents and notes into a local Markdown wiki with inbox review, content knowledge graph, and browsable HTML workspace.
SkillMIT★ 37No key
PythonUnlicense★ 3Few starsNo key
Decision-aware knowledge graph on LightRAG: extends (head, relation, tail) triples into contextual quadruples (h, r, t, rc) that capture decision lineage — who approved what, why, via which channel, u
PythonMIT★ 2Few starsNo key
Local FAISS vector store as an MCP server – Agent Memory, drop-in local semantic search for Claude / Copilot / Agents.
PythonMIT★ 36No key
the best mcp server for lightrag with support for idempotent uploads
PythonApache-2.0★ 8No key
SkillMIT★ 1Few starsNo key
LLM document ingestion pipeline with AI readiness scoring and structured Markdown/JSON output.
MCPLink only★ 9
Local-first engine that grounds an AI agent's answers in your own Markdown and captures what it learns back into the KB — Node · TypeScript · MCP.
SkillMIT★ 5No key
Self-hosted AI memory and RAG layer with local LLM support. Full Rust implementation with vector embeddings, knowledge graph, FTS5, hybrid search, and OpenAI-compatible API.
SkillMIT★ 3Few starsNo key
Give your agent a memory it can prove. One Python file: local SQLite vault, hybrid FTS5 + vector retrieval, Cloudflare-aware fetching, and a research loop whose [V]/[E]/[H] citations are machine-verif
SkillMIT★ 8No key
Air-gapped multi-format document ingestion, local OCR fallback, structural legal/business chunking, and PostgreSQL/pgvector indexing for the Krusch Ecosystem.
PythonMIT★ 1Few starsNo key
MCP-native agentic RAG: a private corpus searched before the web, every claim cited, retrieval you can measure.
PythonMIT★ 1Few starsNo key
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