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
206
Tools
545
Categories
11
Contributors
182
A lightweight MCP server for a local ComfyUI instance that lets AI agents generate and iteratively refine images, audio, and video. Agents can submit workflows, override prompts and sampler parameters, poll job status, and retrieve outputs, which makes conversational iteration on a local diffusion pipeline practical.
An MCP server for fal.ai's hosted generative model catalog, letting assistants create images, video, music, and audio from natural language. Agents can pick a model, submit a generation request with parameters, poll long-running jobs, and retrieve the resulting media URLs directly in the conversation.
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.