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FastMCP v2 ๐Ÿš€

FastMCP v2 ๐Ÿš€

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gofastmcp.comDeveloper Tools28.2kUpdated today

About FastMCP v2 ๐Ÿš€

FastMCP is a Python framework for building MCP servers, clients, and interactive apps. It is for developers creating MCP applications, with Python functions converted into tools and server connections handled through a URL.

Key features

  1. 01Expose tools, resources, and prompts
  2. 02Generate schemas and validation from functions
  3. 03Connect to local and remote servers
  4. 04Manage transport, authentication, and protocol lifecycle
  5. 05Create interactive tool UIs

Use cases

  1. 01Expose Python functions as MCP tools
  2. 02Build an MCP server with resources and prompts
  3. 03Connect an application to an MCP server
  4. 04Add interactive UIs for tools

MCP support

FastMCP provides a framework for authoring MCP servers that expose tools, resources, and prompts, and clients that connect to MCP servers with protocol support.

Configuration

Local server config is the same for every client. Copy it into your clientโ€™s MCP config file.

No install method listed yet

We havenโ€™t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README
FastMCP Logo

FastMCP ๐Ÿš€

Move fast and make things.

Made with ๐Ÿ’™ by Prefect

Docs Discord PyPI - Version TypeScript Tests License

prefecthq%2Ffastmcp | Trendshift


The Model Context Protocol (MCP) connects LLMs to tools and data. FastMCP is a full MCP application framework for servers, clients, and interactive apps. A server starts with ordinary Python:

from fastmcp import FastMCP

mcp = FastMCP("Demo ๐Ÿš€")

@mcp.tool
def add(a: int, b: int) -> int:
    """Add two numbers"""
    return a + b

if __name__ == "__main__":
    mcp.run()

Why FastMCP

Building an effective MCP application is harder than it looks. FastMCP handles all of it. Declare a tool with a Python function, and the schema, validation, and documentation are generated automatically. Connect to a server with a URL, and transport negotiation, authentication, and protocol lifecycle are managed for you. You focus on your logic, and the MCP part just works: with FastMCP, best practices are built in.

That's why FastMCP is the standard framework for working with MCP. FastMCP 1.0 was incorporated into the official MCP Python SDK in 2024. Today, the actively maintained standalone project is downloaded a million times a day, and some version of FastMCP powers 70% of MCP servers across all languages.

FastMCP has three pillars:

Servers
Servers

Expose tools, resources, and prompts to LLMs.
Apps
Apps

Give your tools interactive UIs rendered directly in the conversation.
Clients
Clients

Connect to any MCP server โ€” local or remote, programmatic or CLI.

Servers wrap your Python functions into MCP-compliant tools, resources, and prompts. Clients connect to any server with full protocol support. And Apps give your tools interactive UIs rendered directly in the conversation.

Building in TypeScript? FastMCP for TypeScript is the official counterpart, built and maintained by the same team. Same pillars, same ideas, npm install @prefecthq/fastmcp-ts.

Ready to build? Start with the installation guide or jump straight to the quickstart.

Scale MCP with Horizon

FastMCP handles the MCP application layer. Prefect Horizon is the enterprise MCP gateway for scaling servers and tools across teams, with centralized governance over how they are deployed, discovered, secured, and used.

FastMCP and Horizon are built by the same team at Prefect.

Deploy FastMCP servers from GitHub with branch previews and instant rollback. Create a private registry of every MCP your company uses. Secure access with SSO and tool-level RBAC. Get audit logs, observability, and governance across your MCP stack. Remix approved tools into purpose-built endpoints for teams and agents.

Start with FastMCP. Scale with Horizon โ†’

Installation

We recommend adding FastMCP to your project with uv:

uv add fastmcp

For full installation instructions, including verification and upgrading, see the Installation Guide.

Upgrading? We have guides for:

๐Ÿ“š Documentation

FastMCP's complete documentation is available at gofastmcp.com, including detailed guides, API references, and advanced patterns.

Documentation is also available in llms.txt format, which is a simple markdown standard that LLMs can consume easily:

  • llms.txt is essentially a sitemap, listing all the pages in the documentation.
  • llms-full.txt contains the entire documentation. Note this may exceed the context window of your LLM.

Give your coding agent llms.txt as its starting point. See Coding Agents for version-matched documentation and the optional server authoring skill.

Community: Join our Discord server to connect with other FastMCP developers and share what you're building.

Contributing

Start with CONTRIBUTING.md for accepted contributions and the issue-assignment workflow, then follow the Contributing Guide for setup and validation. Agents should read AGENTS.md.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.