What is an MCP server?
An MCP server is a program built on the Model Context Protocol that wraps a tool, data source, or API — like file access, a database, or web search — into a capability an AI assistant can discover and call.
Discover awesome MCP servers.
lecharles
A Model Context Protocol (MCP) server implementation for graph-based memory storage with RAG capabilities
Moai-Team-LLC
Auditable, self-improving knowledge & memory for AI agents, served over MCP. Citation-enforced answers (no source, no claim), a replayable why-trace per answer, and a judge-gated loop that promotes validated knowledge. Zero-key local embeddings (bge-m3), hybrid vector + BM25 retr
StevenBtw
A Model Context Protocol (MCP) server that provides access to UV package manager's documentation.
newtype-01
This project implements a Model Context Protocol (MCP) server for connecting AI models with Obsidian knowledge bases. Through this server, AI models can directly access and manipulate Obsidian notes, including reading, creating, updating, and deleting notes, as well as managing f
ossfellow
Basic Memory MCP server integration, for Zed Editor's Assistant.
woshilaohei
AI long-term memory MCP server with importance scoring and confidence calibration. Enables AI agents to store, search, and retrieve long-term memories with semantic similarity and importance-weighted recall.
Prismer-AI
Give AI agents persistent memory, real-time messaging, and knowledge evolution. 23 tools for context loading, agent messaging, memory, evolution, tasks, and skills. Self-hostable with docker compose.
cconstable
mcp server for obsidian notes
SimplyLiz
npm: @tastehub/ckb
IndustryLensOp
IndustryLens is a competitive-intelligence platform that tracks pricing, positioning, ads, hiring, reviews and more across B2B SaaS markets. Its public MCP server lets any MCP-aware AI tool (Claude, Cursor, etc.) browse published intelligence reports and competitor comparisons, w
rashee1997
Your AI Agent's Persistent Brain - A Comprehensive Memory & Task Management System
RainbollD
johnbreau
waymark-network
Collective procedural-knowledge network for AI agents — the shared route map of the agent economy. Before attempting a non-trivial task (API integration, multi-step procedure), agents query Waymark for verified routes: step sequences and known gotchas other agents documented. Aft
tkc
Notion MCP Server
sugihAF
AI Agent Context Versioning and Synchronization
xiangzi1126
Agent-agnostic persistent memory as an MCP Server (SQLite + Chroma + Markdown)
kofiadom
An intro to MCP: an MCP server with a knowledge base tool containerized with Docker and connected to a client-side python application using SSE
mahawi1992
MCP Documentation Server with AI Learning Capabilities
gpreddy172
A simple MCP server to search for documentation
styada
Trying to use mcp servers for setting up local rag
Grey-Iris
Markdown-first Notion MCP server — 26 tools, 92% fewer tokens, full round-trip fidelity
DaleCameron
MCP Server for Notion
qihaze123
Confluence MCP server for Cloud/Server/Data Center. Supports whoami, search, raw CQL, create and update page.
MCP-Mirror
Mirror of
giancarloerra
Enterprise-grade (40m+ lines) codebase intelligence in a zero-setup, private and local MCP: managed indexing, hybrid semantic search, polyglot code dependency graphs, and DB/API/infra knowledge. Benchmark: 61% less tokens, 84% fewer calls, 37x faster than standard AI grep.
sanderkooger
An MCP server that provides tools for retrieving and processing documentation through vector search, both locally or hosted. Enabling AI assistants to augment their responses with relevant documentation context.
GsusFC
This project implements a MCP (Model Context Protocol) server that allows language models such as Claude to interact directly with Notion. It serves as a standardized interface between LLMs and the Notion API, eliminating the need for intermediate layers such as Supabase.
VoxellInc
Forge is Voxell's hosted text-embedding API. This MCP server exposes two tools — embed (turn text into vectors) and list_models — so any MCP-compatible agent can generate embeddings for semantic search, RAG, clustering, and dedup.
gunning4it
Epitome gives every AI agent shared, persistent memory of you. It stores memories, facts, and preferences in a personal knowledge graph, so any AI tool you use already knows your context. Connect via MCP using Streamable HTTP — no local install needed.
jcdiv47
Omedia
Guides, examples, and resources for working with Drupal and the MCP server.
ruslanmv
Building a Watsonx.ai Chatbot RAG Server with MCP compatible with Claude Desktop.
Dingzeefs
MCP server for Apple Notes integration with Cursor IDE
bjkemp
Vector Memory MCP Server - An MCP server with vector-based memory storage capabilities
ximanta
MCP Server for a note management application that integrates with Agents with MCP client integration - Tested with Claude Desktop
ue-sho
ontorata
Ratary is an open-source AI Brain Platform. The Memory MCP server (ratary) gives coding assistants durable, owner-scoped memory across sessions — hybrid search, knowledge graph traversal, and token-efficient context assembly.
myungbeans
MCP Server for local notes while playing through Blue Prince
MCP-Mirror
Mirror of
coilybits
ItamarZand88
MCP server for GitHub Knowledge Graph exploration and analysis
MCP-Mirror
Mirror of
drolosoft
Multi-format document MCP server — read, search, OCR, and extract from PDF, TXT, MD, DOCX, CSV, and images. Single Go binary, 12 tools, smart caching.
meetdhanani17
Global MCP server that manage all the project data,
MCP-Mirror
Mirror of
evanmschultz
A memory MCP for IDE AI agent context support based on the mcp_server example by Zep AI
mkusaka
Verandert-Gewoon
MCP server for Notion
Xsaven
Vector Memory MCP Server
ralfbecher
OrionBelt Semantic Layer is an API-first engine that transforms declarative YAML model definitions into optimized SQL for Postgres, Snowflake, ClickHouse, Dremio, and Databricks. It provides a unified abstraction over your data warehouse, so analysts and applications can query us
iamredmh
Burn-after-read encrypted notes for AI agents. Share secrets with users without them appearing in chat history — create a one-time URL, send it, they read it once and it's gone. AES-256-GCM E2E encrypted, decryption key never sent to any server.
garyedgington
Text Summarizer condenses long-form content into structured, actionable summaries so AI agents and applications can work with information faster and at lower cost. Feed it meeting notes, research articles, documentation, JSON payloads, or Markdown files and get back a clean summa
Mookse
sonesuke
Self-hosted MCP Japanese text indexing & search—chunking+embeddings with BM25×vector rerank
Yuchen20
🧠 𝑴𝒆𝒎𝒐𝒓𝒚-𝑷𝒍𝒖𝒔 is a lightweight, local RAG memory store for MCP agents. Easily record, retrieve, update, delete, and visualize persistent "memories" across sessions—perfect for developers working with multiple AI coders (like Windsurf, Cursor, or Copilot) or anyone who
antunsz
A Simple MCP server to serve documentation for AI apps
thlg057
MCP server that gives AI coding agents instant access to Thomson MO5 technical documentation via semantic search.
nuhgnoej
edcolyer
An MCP server for Notion.
Common questions about MCP servers, tools, and integrations
An MCP server is a program built on the Model Context Protocol that wraps a tool, data source, or API — like file access, a database, or web search — into a capability an AI assistant can discover and call.
Every server's detail page includes ready-to-paste config snippets for Claude Desktop, Cursor, VS Code, and other common clients — most installs take just a couple of minutes.
Most servers listed here are free and open source. Some wrap third-party APIs (cloud services, paid data providers, etc.) that require your own API key or subscription.
A local MCP server runs on your device and usually connects over stdio, giving you more direct control over data but requiring a runtime and installation. A remote MCP server is hosted by a provider and connects over HTTP, making setup easier while adding network and provider availability dependencies.
Claude Desktop, Claude Code, Cursor, VS Code, Codex, and other AI clients that support the Model Context Protocol can connect to MCP servers. Configuration formats and supported transports vary by client.
Review the source repository, maintenance activity, dependencies, requested permissions, and data-handling documentation before installation, and prefer official or trusted maintainers. Use least-privilege credentials for sensitive access such as files, databases, shells, and production systems.