MCP Servers
The open registry for Model Context Protocol servers. Find the right tools, resources, and prompts for your AI agents — filtered by category, transport, or use case.
Servers
92
Tools
343
Categories
11
Contributors
79
Reference MCP server for Git repository operations. Provides tools to read, search, and manipulate Git repositories including viewing commit history, diffs, branches, file contents at specific revisions, and repository status. Enables AI agents to understand code changes and navigate version history without direct filesystem access.
Reference MCP server providing time and timezone conversion capabilities. Enables AI agents to get the current time in any timezone, convert between timezones, calculate time differences, and format dates. Useful for scheduling, international coordination, and any task requiring accurate time awareness.
A VSCode extension that turns your running VS Code instance into an MCP server, giving external AI agents (Claude Desktop, Claude Code, and others) direct access to VS Code's editing, navigation, and debugging capabilities. Supports reviewing code changes through diffs, real-time diagnostic streaming (type errors, lint warnings), terminal command execution, URL preview in the built-in browser, debug session management, and multi-window instance switching. Also relays built-in MCP servers introduced in VS Code 1.99, including GitHub Copilot tools.
MCP server for Atlassian Bitbucket that connects AI tools to repositories, pull requests, branches, and pipelines. Enables agents to review and create pull requests, read file contents and diffs, leave comments, and inspect build status on Bitbucket Cloud and Server.
Skills vs MCP servers
what's the difference?Skillsthe “what to do”
A skillA reusable, structured prompt/workflow with recommended models, an example prompt, and compatible tools. packages know-how — instructions, an example promptA ready-to-use prompt template that demonstrates how to invoke the skill., and recommended models — so an agent performs a task consistently. Skills add knowledge, not new connections.
MCP serversthe “how to connect”
An MCP serverModel Context Protocol server — a standard way to expose tools, resources, and prompts to AI agents and IDEs. gives an agent new capabilities by connecting it to real systems (databases, APIs, files) over a transportHow the client talks to the server: stdio (local process), SSE, or HTTP streaming.. MCP adds connections and actions, not task instructions.
Rule of thumb: reach for a skill when you need the model to do a task well, and an MCP server when you need it to reach a tool or system. They compose — a skill can rely on tools an MCP server provides.
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