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.
madisonbullard
A monorepo containing Model Context Protocol servers for various use cases.
SepineTam
A MCP Server for finding from AEA.
Plopix
A CLI that runs your scripts and exposes them as tools through a built-in, extensible MCP server.
uprightsleepy
Conversational cloud security compliance auditing. MCP server enabling natural language queries about AWS security posture via Claude and other AI assistants.
junetic
MCP server that lets AI agents run real user interviews and retrieve themes and quotes.
vivian-xie-db
UnitVectorY-Labs
A lightweight, configuration-driven MCP server that exposes curated GraphQL queries as modular tools, enabling intentional API interactions from your agents.
daltonnyx
A collection of standalone Python scripts that implement Model Context Protocol (MCP) servers for various utility functions. Each server provides specialized tools that can be used by AI assistants or other applications that support the MCP protocol.
z4none
A MCP server based on RapidOCR, providing an easy-to-use OCR interface.
michaelfromyeg
An MCP server for real-time sports.
joslat
Showing a super simple implementation of an c# MCP server hosted with Aspire and consumed by Semantic Kernel
peterparker57
MCP server for managing software projects, providing tools for project tracking, note-taking, and GitHub integration
softchris
mcp server in go
noahvanhart
Model Context Protocol (MCP) server implementation for ClickUp integration
metatool-ai
qianlima365
基于ONVIF协议的设备控制MCP
chbhargavareddy
This is a Model Context Protocol (MCP) server that provides claims processing capabilities through integration with a Supabase database. The server enables AI assistants to interact with insurance claim processing workflows and data through natural language.
bamchi
🔗 MCP server that converts URLs to clean Markdown/Text for LLM agents
GreatApo
Concrete Section Properties AI MCP Server
zhuzhoulin
SecretiveShell
MCP server for sending gotify notifications
chatmcp
mcprouter for remote mcp servers
jacksmith3888
A MCP server providing character info query for wuthering waves
lieyanqzu
用于与游戏王中文卡查百鸽(ygocdb.com)API交互的MCP服务端
webreactiva-devs
A lightweight Model Context Protocol (MCP) server that provides detailed character analysis for text.
jonpojonpo
what it says on the tin
trustwiseai
Trustwise MCP servers.
zhengkunwang223
A Go gateway that converts stdio-based MCP servers to SSE endpoints using mcp-go.
nmfisher
A very simple Model Context Protocol server implementation in Dart
mcp-server-summary
A MCP Server that extracts and formats Bilibili video content into structured text, optimized for LLM processing and analysis.
nrjchnd
VoIPBin MCP Server
tunetank
aarushkx
MCP server for fetching real-time COVID-19 data by country
SaptaDey
Next-Generation AI Reasoning Framework for Scientific Research
shahabazdev
MCP server for the Inxmail Commerce transactional API — events, sendings, bounces, blocklist, blacklist, reactions, and delivery tracking from Claude.
projectsaturnstudios
A Laravel package for implementing the Machine Control Protocol (MCP) server
vincentf305
MCP Server for deepseek integration in Claude desktop
Tobarrientos2
A Neo4j MCP server implementation for managing graph database operations through the Model Context Protocol
structbinary
This repository serves as the central hub and MCP registry for all MCP servers built to support a wide range of DevOps tools and workflows. Each MCP server provides a Standardized interface for AI agents.
twelve2five
coderjun
Experimenting with MCP
Bigsy
benbakhar
MCP server for using the Azure AI Video Indexer API
plusplusoneplusplus
mcp server
Talismanic
This MCP server will return the shortened URL using cleanuri.
jverre
MCP server to interact with Chrome
souravch
MCP server to manage apache beam workflows with different runners
wilsonsilva
The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward: developers can either expose their data through MCP servers or build AI applications (
skydeckai
UserAd
dmclain
MCP server for introspection of python environments
encoreshao
A Model Context Protocol (MCP) library for BambooHR, built with Node.js and TypeScript.
tolak
MCP servers hosting in Phala Cloud
quanticsoul4772
Analytical MCP Server: Enhancing AI with Structured Problem-Solving Tools
pradeep895
Secure MCP server for analyzing Excel files with oletools
OwenQian
Patrick7241
mcp server and client
kukapay
An MCP server that provides real-time gas price predictions across multiple blockchains.
dlwjdtn535
mprokopov
MCP Server for my ledger
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.