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.
MCP Servers
Discover awesome MCP servers.
Version Control
A simple Git MCP server based on
daoch4n
mcp git management server over sse protocol
Version Control
MCP Atlassian
adamjbird2
MCP server that integrates Confluence and Jira
Version Control
Jira MCP Server for Cursor
kornbed
A TypeScript-based MCP server for Jira integration with Cursor
Version Control
Linear MCP Server
argia-andreas
A Linear MCP Server for interacting with Linear
Version Control
Everforth GitHub MCP Server
Everforth
Version Control
repo-created-using-mcp-server
jayant-vashisth
Repository created using GitHub MCP tools
Version Control
GitHub MCP Server Practice Repository
soso0024
Practice repository for MCP server implementation
Version Control
GitHub MCP Server
ds231
everyday series assignment
Version Control
mcp-coding-mr
yankeguo
A simple MCP server for CODING MR API
Version Control
GlubGlub
maxyharr
A repository demonstrating GitHub MCP server configuration in VS Code
Version Control
GitHub MCP Server Plus
MCP-Mirror
Mirror of
Version Control
GM
Github Mcp
Stevke7
Version Control
Easy MCP GitHub Tools Application
ground-creative
A set of powerful tools designed for seamless integration with GitHub via MCP
Version Control
JIRA MCP Server
rixbeck
MCP server for self-hosted Jira
Version Control
Sverklo
sverklo
Local-first MCP code intelligence server with 37 tools — hybrid search, blast-radius analysis, diff-aware risk-scored review, and bi-temporal memory pinned to git SHAs. Stops AI agents from hallucinating function names that don't exist in your codebase. Published 60-task retrieva
Version Control
repo-to-txt-mcp
chromewillow
MCP server for analyzing and converting Git repositories to text files for LLM context
Version Control
This package has been merged into official repo, please use the official repo instead.
ai-zerolab
MCP server for pymupdf4llm, best pdf2md for LLM
Version Control
🤖 AI Code Review MCP Server
wn01011
pr 분석을 좀 더 편하게 하고자 미리 작성해주는 mcp 서버입니다.
Version Control
GitHub MCP Server
marcusdb
Version Control
Linear MCP Integration Server
MCP-Mirror
Mirror of
Version Control
GitHub MCP Server
tangochuy
Version Control
Repo Context Mcp
pablo-peek
Repo Context MCP provides programmatic access to repository contents for integrations and automation. It can list directories/files, read any file, return the README, perform TypeScript type analysis (via ts-morph), and search for OpenAPI/Swagger spec files. Supports local repo p
Version Control
MCP-DOCKER-Atlassian
shane-reaume
MCP Server that runs on Docker with connect to Atlassian.
Version Control
GitHub MCP Server
marvelouscypherman
MCP server for using the GitHub API
Version Control
Frequently asked questions
Common questions about MCP servers, tools, and integrations
How do I install an MCP server?
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.
Are MCP servers free to use?
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.
What is the difference between local and remote MCP servers?
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.
Which AI clients can connect to MCP servers?
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.
How can I evaluate whether an MCP server is safe and reliable?
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.