MCP100 verdict
Recommended framework for Python teams that want a high-level MCP development layer with strong documentation, current protocol support, and mature deployment/auth patterns.
MCP100 Assessment
Editorial verdict
Reviewed September 11, 2026
Task Fit
Mapped
Developer workflows
Trust
Reviewed
A dated editorial review is published on the MCP detail page.
Maintenance
Activity observed
A dated repository or package update is available; editorial maintenance review is still pending.
Popularity
Signals available
Visible usage signals are shown for discovery only, not as proof of safety.
Evidence scope
27.9k MCP repository stars
49.4M framework package downloads / 30 days
Repository identity: PrefectHQ/fastmcp
Package identity: fastmcp · version 4.0.8
Stars observed September 24, 2026 · Downloads observed September 24, 2026
Exact reviewed repository identity; current GitHub repository stars are eligible as repository-level adoption evidence.
Exact MCP-specific package identity verified against the reviewed canonical repository. Framework package consumption; not MCP-server adoption.
Publisher activity observed September 23, 2026
Current source snapshot
Source relationship: First-party MCP
Reviewed September 11, 2026
Evidence-backed setup
This profile has type-appropriate, source-backed setup rather than an MCP-server client connector configuration.
Type-appropriate, source-backed setup for this framework profile.
Capability
Recommended framework for Python teams that want a high-level MCP development layer with strong documentation, current protocol support, and mature deployment/auth patterns.
Expose Python functions and data as MCP tools, resources, and prompts.
Connect programmatically to local or remote MCP servers and list/call tools, resources, and prompts.
Framework helpers cover authentication, deployment, middleware, and interactive MCP Apps.
FastMCP is a framework; the tools exposed are defined by each application.
Not measured yet
Estimated token footprint of the MCP tool schemas exposed to the agent.
Reviewed access
Review the exact access boundary before connecting this MCP to accounts, credentials, or sensitive data.
Related reviewed MCPs
Retrieve current library and framework documentation for coding agents.
Choose this instead if
Choose Context7 MCP instead if current library and API documentation inside coding agents.
Retrieve current library and framework documentation for coding agents.
Discover and run MCP servers through Docker's MCP gateway.
Choose this instead if
Choose Docker MCP Gateway instead if running multiple MCP servers behind one stdio connection.
Discover and run MCP servers through Docker's MCP gateway.
Work with repositories, issues, pull requests, and GitHub workflows.
Choose this instead if
Choose GitHub MCP instead if repository, issue, pull-request, and code context.
Work with repositories, issues, pull requests, and GitHub workflows.
reviewed-detail:fastmcp is listed as First-party MCP in MCP100’s current evidence.
Current official resources:
Original product, capability, tool, and usage documentation from the MCP publisher. Installation sections appear under Install & Agents.
Move fast and make things.
Made with 💙 by Prefect
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 🚀")
@mcp.tool
def add(a: int, b: int) -> int:
"""Add two numbers"""
return a + b
if __name__ == "__main__":
mcp.run()
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 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.
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 →
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.
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.