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.
arhuman
Local-first MCP memory server for AI agents, with source citations and OKF/Markdown knowledge bases.
alexsmirnov
AndrewKlement
Gaggiuino MCP server
xxlv
ai-create-mcp is a Go-based tool that converts OpenAPI Specification (OAS) files into a Model Context Protocol (MCP) program.
Continuum-AI-Corp
Official MCP server for OrcaRouter — the LLM gateway with auto-routing and fallback chains. Browse models and chat from Claude Desktop, Cursor, Windsurf, or any MCP client.
SawyerHan-AI
A living second brain that connects everything you think with — your AI agents, your notes, and beyond.
rogervinas
🍀 🤖 Spring Boot AI - Evaluation Testing
happyZYM
wangle201210
MCPHubCloud
A unified All-in-One entrance for mcpservers, which manages various types of mcpservers.
aegntic
AegnticMCP automates the creation and management of MCP servers, ensuring they are stable, adaptable, and intelligent.
mshaaban0
Contentful MCP Server for Delivery API
liukeyu800
kaiyuanxiaobing
JavaProgrammerLB
java version unsplash mcp server
edgedelta
Edge Delta MCP Server
JackKuo666
🔍 Enable AI assistants to search and access medRxiv papers through a simple MCP interface.
taroify
Taroify MCP 是一项独立的 MCP(模型上下文协议)服务,旨在将 Taroify 与大模型连接起来。它使大模型能够直接从文档中检索组件、API数据。
JustaName-id
yincongcyincong
MCP Server for the VictoriaMetrics.
Pearl-com
A Model Context Protocol (MCP) server implementation that exposes Pearl's AI and Expert services through a standardized interface
X-lab2017
MCP server of OpenDigger
wildfly-extras
WildFly MCP server and other tooling to integrate WildFly in AI space
bigcoder84
mcp-excel-server is a project based on the Spring AI MCP framework. Its main function is to provide large language model (LLM) with the ability to read and write local Excel files with the help of MCP protocol.
waii-ai
waii mcp server
nonead
nUR_MCP_SERVER is an intelligent industrial collaborative robot control middleware system built based on the MCP (Model Control Protocol) interface protocol. It realizes the natural language interactive control of industrial robots by integrating a large language model (LLM).
WeatherXM
This MCP server exposes the WeatherXM PRO APIs as MCP tools, allowing clients to access weather station data, observations, and forecasts through the MCP protocol.
mugoosse
MCP server for fetching, parsing and crawling sitemaps of a given website
fortunto2
MCP server for interacting with the Prefect API
Gitmaxd
The (Unofficial) dubco-mcp-server enables AI assistants to manage Dub.co short links via the Model Context Protocol. It provides three MCP tools: create_link for generating new short URLs, update_link for modifying existing links, and delete_link for removing short links.
mstfe
Node.js server implementing Model Context Protocol (MCP) for Google Tasks
PhelanShao
Enables large language models to correctly query molecular databases and generate structure files
noboru-i
MCP Server for the Nature Remo API.
cruxible-ai
Hard, verifiable state layer for AI agents
zizzfizzix
Model Context Protocol (MCP) server for Bing Webmaster Tools (BWT) allowing Claude.ai and other clients to interact with the BWT API
coding-alt
Run MCP stdio servers over SSE and SSE over stdio. AI gateway.
BrennanConroy
Demo MCP Server using SignalR
meowrain
一个可以使用cambridge dictionary查询单词的mcp服务器
puppygraph
adarshp14
leap-laboratories
Discovery Engine — find novel, statistically validated patterns in tabular data
1595901624
A Model Context Protocol (MCP) server for generating simple QR codes. Support custom QR code styles.
binalyze
Binalyze AIR MCP Server
landicefu
overstarry
ducthinh993
A Model Context Protocol (MCP) server that enables AI assistants like Claude to check software end-of-life (EOL)
sigmaSd
A Model Context Protocol (MCP) server that provides access to JSR (JavaScript Registry) module documentation.
Cyreslab-AI
minhaj3
zxs731
jimmcq
A simple, working example of a Model Context Protocol (MCP) server that lets you play the classic Lemonade Stand game through Claude Desktop.
54yyyu
A Model Context Protocol (MCP) server for academic tools, integrating with Canvas and Gradescope platforms.
dend
🪐 MCP server for Halo Infinite.
dweb-channel
element-plush mcp server
gkhays
MCP server that retrieves CVE information
normal-coder
Let AI operate Gitee Repositories / Issues / Pull Requests for you through MCP
piiiico
Supply chain security risk scorer for npm, PyPI, Cargo, and Go — behavioral signals that can't be faked
smadi0x86
An LLVM-based obfuscation tool designed to confuse LLM clients interacting with custom MCP disassembler servers.
JacerOmri
CLI tool to create an MCP server exposing services from an OpenAPI specification
HappyAny
A Model Context Protocol (MCP) server that converts LaTeX mathematical expressions to MathML format.
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.