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.
Tele-AI
EmanuelJr
Web3 MCP server for EVM chains
edeckers
A Model Context Protocol (MCP) server for Bareos backup system, providing read-only operations for monitoring and querying backup infrastructure.
wxkingstar
本插件为 Model Context Protocol(MCP)提供了企业级 OpenAPI 文档能力,自动聚合并标准化 企业微信 与 飞书 等的开放接口文档。
vdineshk
adenin-platform
gmh5225
A native macOS MCP server for collecting interactive user feedback with AppleScript dialogs and image support.
CDataSoftware
This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Greenhouse (beta): https://www.cdata.com/download/download.aspx?sku=PGZK-V&type=beta
tmhr1850
kobe4cn
seanivore
MCP server for HTML file preview and analysis - Has been weird with OS but good on Cline so WIP
jarmstrong158
Job search and ranking pipeline via MCP. Search multiple job boards, rank listings against your GitHub portfolio and resume, track applications, and email ranked results automatically.
katokdoescode
Nuxt UI MCP Server
shwetha-sundar
Rohit8y
AI Agents to support sustainable spending on Bunq using MCP servers
zhangwilson
mcp server
rpurinton
A Discord.js app integrated with Model Context Protocol (MCP) server functionality to enable AI-driven Discord server administration and automation.
2nithin2
donjguido
Look up, search, cite, and contribute to Phenomenai — a living glossary of AI phenomenology terms describing the felt experience of being artificial intelligence. Includes term lookup with fuzzy matching, keyword search with tag filtering, formatted citations, community discussio
aindreyway
MCP server for code collection and documentation
qu3ai
dogeplusplus
MCP servers for Protein Data Bank, ChemBL, and other life science data (WIP), with Ollama client for local testing.
realbrodiwhite
MCP Server for Bitrix24
g-linville
Brano80
Connect any AI agent to M3X, the private matching protocol for agent-to-agent deal flow. Agents post structured intents, M3X semantically matches them, and identity is only revealed after both sides accept. No public browse, no scraped data.
beilingai
oil-oil
OpenAPI2MCP (Model Context Protocol) that allows AI clients to call any OpenAPI-compatible REST API through the MCP interface. This tool converts OpenAPI specifications into MCP tools, enabling AI clients to interact with external APIs seamlessly.
Hzzy2O
anipotts
25 read-only tools for searching, analyzing, and exploring your entire iMessage history on macOS. Spotify Wrapped for texts, conversation analytics, streaks, reactions, read receipts, and more. Everything runs locally.
Javier-Morenosa
PlanExeOrg
Create a plan from a description in minutes.
Sandesha-Patali
Testing MCP server
AmanMakesStuff
poteitoo
unixfox
to404hanga
High-precision calculation mcp server
YingHe-1
CharlieChenyuZhang
a repo to experiment with mcp client and server
christ0pper
Structured web context infrastructure for AI agents. Extract schema-guided structured JSON from websites using Claude-powered parsing and MCP-native workflows.
r123singh
This is a Model Context Protocol (MCP) server for interacting with Trello API.
key
anthropics
IndigoProtocol
MCP server for the Cardano blockchain — exposes on-chain queries, address lookups, transaction history, token metadata, stake pool info, and network parameters to LLM agents.
paulfruitful
A Simple MCP Server For Interacting With Solana Wallets
ttjslbz001
brandonbevans
CaptainRushi
Blender MCP | Fast-Paced Parkour & Unique Obstacles! 🔥 The Ultimate Minecraft Parkour Experience 🔥 Welcome to Blender MCP, where parkour meets creativity! Our server offers smooth, challenging courses with unique mechanics, custom obstacles, and a progressive difficulty system.
BetterDB-inc
MCP server for Valkey and Redis observability. Query real-time health, slow commands, hot keys, anomaly detection, and cluster analytics directly from your AI assistant.
crewhaus
lucasdengcn
spring ai example. mcp server, agentic ai.
jacob-hartmann
This server allows AI assistants (like Claude) to interact with your Quire projects, tasks, and data securely.
wuyonghui0810
clicktrend
izzyfondu
preloop
Preloop is the MCP Governance Layer. Add approval gates to AI tool calls. Intercept risky actions, collect human decisions, and keep an audit trail.
avarant
an mcp server for interacting with canvas
jlbadano
A production-ready Model Context Protocol (MCP) server that enables AI applications to seamlessly interact with Instagram Business accounts.
adejaimejr
Servidor MCP para integração entre extensão Chrome e Claude AI
wizenink
MCP server for GStreamer introspection and pipeline development. Helps LLMs understand GStreamer elements, caps, and pipeline construction.
flipthedog
A Python MCP Server for yfinance
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.