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
Browse MCP servers by category and sort by GitHub stars or newest additions. Open a listing for configuration and setup details.
Version Control
Jira communication server MCP Server
MCP-Mirror
Mirror of
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test-repo-456
sugamass
Test repository created via GitHub MCP server
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GitHub MCP Server
oghenetejiriorukpegmail
A Model Context Protocol (MCP) server implementation for GitHub integration
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Linear MCP Server
argia-andreas
A Linear MCP Server for interacting with Linear
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jira-mcp-server
chasepd
An MCP server to allow LLMs to interact with Jira
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Bounteous MCP Server
ravi-accolite
MCP Server repository for managing GitHub operations
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Local Git MCP Server
okdshin
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GitHub MCP Server
cloudbarista
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Gitrama Mcp
ahmaxdev
AI Git workflow MCP server. Generates conventional commit messages, branch names, PR descriptions, and manages work streams (wip, hotfix, review, experiment). Works with Cursor, Claude Desktop, Claude Code, Windsurf, and VS Code. Install: pip install gitrama-mcp
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S
Swipr
nochinxx
Swipe-to-review GitHub PRs with AI context. Paste a repo URL, get open PRs as a card stack with risk scores, AI summaries, similar past changes, and contributor history. Works as a Claude MCP plugin — review PRs directly from Claude Desktop or Cursor without a browser. 12 tools i
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Gitlab MCP Server
jbendotnet
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JA
Jira Assets MCP Server by CData
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 Jira Assets (beta): https://www.cdata.com/download/download.aspx?sku=KNZK-V&type=beta
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GitHub MCP Server Configuration
yosay-org
Documentation and configuration details for GitHub MCP server setup
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MCP Test Repository
sshimomu2k2
A test repository created using the GitHub MCP server
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GitLab MCP Server Extension for Zed
akbxr
Gitlab MCP Server for Zed
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mcp_repo_8fe29404
sanskarmk
This is a test repository created by test script of MCP Server for GitHub
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JIRA MCP Server
boukeversteegh
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curri-mcp-server MCP Server
teamcurri
An MCP Server for Linear
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jira-server MCP Server
necto-pro
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GitHub MCP Server
zaidongy
A Model Context Protocol server implementation for GitHub
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Repo Graph
James-Chahwan
Structural graph memory for AI coding assistants. repo-graph maps your codebase entities, relationships, and feature flows so the model navigates to the right files instead of reading everything first. Tree-sitter, 20+ languages, frontend to backend and more, any MCP client.
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jira-mcp-server-python
mbala2304
MCP Server to fetch the information about issues in JIRA
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Jira MCP Server
MCP-Mirror
Mirror of
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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.