DISCOVER THE FUTURE OF AI AGENTS

FastMCP

Added Apr 25, 2026
Agent & Tooling
Open Source
PythonModel Context ProtocolAI AgentsAgent FrameworkSDKCLIAgent & ToolingModel & Inference FrameworkProtocol, API & Integration

The fast, Pythonic way to build MCP servers, clients, and interactive apps based on the Model Context Protocol.

FastMCP is an open-source Python framework maintained by the Prefect team, providing three core capabilities around the MCP (Model Context Protocol) ecosystem:

Server Building: Expose Python functions as MCP components via @mcp.tool, @mcp.resource, and @mcp.prompt decorators with automatic JSON Schema generation, parameter validation, and documentation. Supports STDIO and HTTP (Streamable HTTP) transports with built-in OAuth authentication, Middleware interception chains, dynamic Providers, Tag-Based Filtering, and Strict Input Validation for production use.

Client Connections: Async client API for connecting to any MCP server programmatically or via CLI, with automatic transport negotiation, authentication flows, and protocol lifecycle management.

Interactive Apps (v3): Add visual UI (tables, charts, forms) to tool results using @mcp.tool(app=True) with Prefab components, while tools remain fully functional as standard MCP tools.

Also provides a complete CLI toolchain (run/inspect/install/client/generate-cli/auth), background task system, OpenTelemetry observability integration, and optional LLM SDK integrations (Anthropic/OpenAI/Gemini). Supports free hosted deployment via Prefect Horizon.

Quick Start:

from fastmcp import FastMCP

mcp = FastMCP("My MCP Server")

@mcp.tool
def greet(name: str) -> str:
    return f"Hello, {name}!"

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

Installation: pip install fastmcp (optional extras: tasks, apps, anthropic, openai, gemini, azure)

Requirements: Python >= 3.10 (supports 3.10/3.11/3.12/3.13)

Versioning: Current main version v3.x (latest v3.2.4, 96 releases total). Uses semantic versioning but may introduce breaking changes in minor versions to keep pace with the rapidly evolving MCP protocol; pinning exact versions is recommended for production.

History: FastMCP 1.0 was incorporated into the official MCP Python SDK in 2024, after which it continued as an independent project (exact timeline unconfirmed).

Related Projects

View All

STAY UPDATED

Get the latest AI tools and trends delivered straight to your inbox. No spam, just intelligence.