358 published MCP servers in this category · page 2 of 6 · all categories
Compress logs, retrieval chunks, and code context into structured LLM-ready signal.
Context Lens transforms any content into a searchable knowledge base for your AI assistant. This self-contained Model Context Protocol (MCP) server with built-in serverless vector storage (LanceDB)…
A Model Context Protocol (MCP) server that provides RAG (Retrieval-Augmented Generation) capabilities using Contextual AI. This server integrates
RAG-enabled MCP server using Contextual AI. Supports single-agent and multi-agent modes.
Shared memory + orchestration for your coding agents. Local-first MCP, vector RAG.
Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
Local multi-client RAG server over the Model Context Protocol.
<em>Web Crawling and RAG Capabilities for AI Agents and AI Coding Assistants</em>
API service to search vectorized Cursor IDE chat history using LanceDB and Ollama
An experimental Python-based server that **locally** indexes codebases using ChromaDB and provides a semantic search tool via an MCP (Model Context
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。
Local-first RAG engine with MCP server for AI agent integration.
Full-text financial reports (US, China, Japan, Korea, Taiwan, UK) as clean Markdown for RAG agents.
Productivity-boosting RAG engine for codebases with multi-provider AI support and semantic search.
An AI-powered Model Context Protocol (MCP) server providing intelligent access to authoritative design systems knowledge. Powered by Supabase vector
DevRag is a lightweight RAG (Retrieval-Augmented Generation) system designed specifically for developers using Claude Code. Stop wasting tokens by
Release management and QA for custom AI assistants: RAG, releases, scored QA, signed TrustBench runs
Extract PDFs to Markdown, RAG chunks and cited tables; publish tracked Doc Links with read stats.
Sync public web sources into cited context packs for AI agents, RAG, and MCP clients.
Local RAG MCP for markdown documentation. Retrieval only; host synthesizes answers.
This is an MCP (Model Context Protocol) server that allows you to search and fetch documentation for popular libraries like Langchain, Llama-Index, MCP, and OpenAI using the Serper API.
PDF, Word, PowerPoint, Excel, HTML, EPUB to Markdown: OCR, page ranges, tables, RAG chunking
A Model Context Protocol (MCP) server that enables Claude to search and access documentation from popular libraries like LangChain, LlamaIndex, and OpenAI directly within conversations.
Dubstrata: Causal Financial & Narrative CDN providing Graph RAG & Deep Research Reports
Easy Memory MCP - Dual-engine embedding service with Qdrant vector store
This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen
Self-hosted MCP memory server: a typed knowledge graph on Postgres 16 and pgvector.
31 MCP tools for ESG data extraction, PDF processing, vector search, and EU regulation analysis.
MCP server for the Ethora chat & messaging platform: chat ops, AI agents, RAG, automation.
MCP server for the Ethora chat & messaging platform: login, manage apps and chat rooms, broadcast messages, and deploy AI agents / chatbots with RAG
Turn any document into a production-ready RAG dataset from Claude, Cursor, or any MCP host.
Omnispindle is the coordination spine of the Madness Interactive ecosystem — a Python FastMCP server with 38 tools that lets AI agents manage tasks, capture knowledge, coordinate sessions, track…
India's financial MCP — cards, loans, FDs, insurance, MFs; EMI/SIP/tax calcs; NAV lookup; RAG.
Classify documents, extract structured fields, mask PII, export JSONL/RAG datasets for AI agents.
Model Context Protocol Servers for Milvus
Run WhatsApp AI agents: manage agents, conversations, CRM contacts, orders and RAG docs.
Bounded tools for rendering, extraction, RAG, enrichment, local discovery and review analysis.
Hybrid vector + reasoning retrieval, agent memory, multi-agent orchestration, MCP server, and RAG.
RAG memory for LLM agents over Garnet Vector Sets: store text as embeddings, recall by meaning.
Governed graph-native agent memory: knowledge extraction, fusion, hybrid RAG, scoped access tokens.
Persistent memory layer for AI coding agents: save, recall, update via Gemini plus LanceDB
This project builds a standalone RAG service, transforming the static `gemini-cli` documentation into a dynamic and queryable tool. This tool exposes
Personal RAG over your GitHub history (commits, code, reviews), served to Claude Code over MCP.
A powerful Model Context Protocol (MCP) Server that combines FAISS (Facebook AI Similarity Search) with OpenAI embeddings to provide semantic search capabilities for GitHub repository issues.…
MCP server for GitHub repo health, commit summaries, issue triage, and RAG Q&A.
Persistent memory and vector search for AI agents. Hosted, OAuth-protected via Google sign-in.
Version-controlled golden datasets and RAG evaluation, no API key needed.
A Model Context Protocol server for querying a hybrid graph and vector database system, combining Neo4j (graph database) and Qdrant (vector database)
Agentic Retrieval Augmented Generation (RAG) with LanceDB
An MCP server that builds knowledge graphs through use. Concepts connect when they activate together. Unused connections decay. The more you use it
Self-hosted long-term memory for AI agents over MCP — hierarchical recall backed by pgvector
A Windows-native MCP (Model Context Protocol) server that lets an AI chat client drive SideFX Houdini across a broad swath of its creative surface — through a fixed catalog of typed, validated tools…
HTML to clean Markdown for LLM and RAG pipelines: headings, lists, tables, links, code fences. Pr...
Deterministic multi-hop graph retrieval for RAG. Zero LLM calls in the query path.
130+ QA & dev tools for AI agents: prompt injection, RAG testing, VLM eval, guardrails. Free.
Agentic RAG system for analyzing IL2CPP dump.cs files from Unity games
Fast search on object storage — SQL, full-text, and vector search.
RAG Search over your content powered by Inkeep
Investment discipline MCP server with RAG, behavior detection, journaling, and market data.
Search IPCC AR6 WG1 and answer with page-level citations, or refuse when unsupported.