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

175

Tools

465

Categories

11

Contributors

153

CategoryAll34Database26Development25Productivity24DevOps17Research13Cloud11Communication9AI6Browser Automation6Security4Filesystem
TransportAllstdioSSEHTTP Streaming

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Dagster MCP Server

DevOps

Dagster

Dagster's MCP integration enables agents to inspect and operate data assets, jobs, schedules, and runs in modern data platforms.

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Skills vs MCP servers

what’s the difference?

Skillsthe “what to do”

A skill packages know-how — instructions, an example prompt, and recommended models — so an agent performs a task consistently. Skills add knowledge, not new connections.

MCP serversthe “how to connect”

An MCP server gives an agent new capabilities by connecting it to real systems (databases, APIs, files) over a transport. 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.

Built an MCP server?

Submit it to the registry — it’s open source and community-maintained.

Submit on GitHub