FastMCP

FastMCP

fastmcp
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About

FastMCP is an open source, Pythonic framework for building Model Context Protocol (MCP) applications that makes creating, managing, and interacting with MCP servers simple and production-ready by handling the protocol’s complexity so developers can focus on business logic. The Model Context Protocol (MCP) is a standardized way for large language models to securely connect to tools, data, and services, and FastMCP provides a clean API to implement that protocol with minimal boilerplate, using Python decorators to register tools, resources, and prompts. A typical FastMCP server is created by instantiating a FastMCP object, decorating Python functions as tools (functions the LLM can invoke), and then running the server with built-in transport options like stdio or HTTP; this lets AI clients call into your code as if it were part of the model’s context.

About

WebMCP is an open source JavaScript library that allows any website to integrate with the Model Context Protocol, enabling users to connect to and interact with webpages through an LLM or AI agent. Developers can add WebMCP to a site with a simple script, which initializes a small widget that handles the connection between the webpage and an MCP client. Once connected, websites can expose MCP features including tools, prompts, resources, and sampling. Tools let an LLM perform actions on the website through registered functions with defined inputs and outputs. Prompts provide reusable templates for common LLM interactions and can accept dynamic arguments. Resources expose webpage data and content that clients can read and use as context, including page content, individual elements, files, or other structured information. WebMCP also supports sampling, allowing the server to request LLM completions through the connected client while maintaining human oversight.

Platforms Supported

Windows Supported
Mac Supported
Linux Not Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Python developers and AI engineers who want a high-level, production-ready framework to build and deploy MCP servers that expose tools and data to LLMs securely and efficiently

Audience

Website developers needing a tool to expose webpage actions, prompts, resources, and contextual data to MCP-compatible LLMs and AI agents

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

fastmcp
Founded: 2025
United States
gofastmcp.com/getting-started/welcome

Company Information

WebMCP
United States
webmcp.dev/

Alternatives

Alternatives

Categories

MCP Gateways Supported

Categories

Agentic AI Supported

Integrations

Model Context Protocol (MCP) Supported
BayPoint AI Not Supported
Claude Desktop Not Supported
JavaScript Not Supported
Markdown Supported
Persona Not Supported
Python Supported

Integrations

Model Context Protocol (MCP) Supported
BayPoint AI Supported
Claude Desktop Supported
JavaScript Supported
Markdown Not Supported
Persona Supported
Python Not Supported
Claim FastMCP and update features and information
Claim FastMCP and update features and information
Claim WebMCP and update features and information
Claim WebMCP and update features and information