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mcp-python

Develop MCP servers in Python with FastMCP and the MCP Python SDK.

92|27|Updated Apr 1, 2025
Search Tags:#python#sdk#mcp#ai integration#server development#fastmcp
One-click install
npx skills add https://github.com/antoinebou12/uml-mcp --skill mcp-python
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-python
Source: https://github.com/antoinebou12/uml-mcp/tree/main/.skill/skills/mcp-python
Command: npx skills add https://github.com/antoinebou12/uml-mcp --skill mcp-python

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires fastmcp, mcp, and includes references (resource) components.

What problem does it solve?

This Skill simplifies the creation and extension of Model Context Protocol (MCP) servers using Python, enabling seamless integration with AI assistants for complex task execution.

Core Features & Use Cases

  • Server Creation: Scaffold new MCP servers with FastMCP and the official SDK.
  • Tool/Resource/Prompt Management: Add custom tools, resources, and prompts to enhance server capabilities.
  • Transport Configuration: Choose between STDIO and streamable HTTP transports for local or remote deployments.
  • Debugging: Facilitates debugging of MCP server connections and tool discovery.
  • Use Case: Develop a Python-based MCP server that can access a company's internal knowledge base to answer employee questions, or build a server that generates diagrams based on user prompts.

Quick Start

Use the mcp-python skill to create a new MCP server project.

Frequently Asked Questions about mcp-python

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build an MCP server in Python to integrate with AI assistants?▼

To build an MCP server in Python, use the FastMCP framework and the official MCP Python SDK to scaffold the project, implement custom tools and resources, and configure STDIO or HTTP transports for AI assistant integration.

What is the difference between STDIO and HTTP transports for MCP servers?▼

STDIO transport facilitates local MCP server deployments by communicating through standard input and output streams, while streamable HTTP transport enables remote connections for broader accessibility across network environments.

How do I add custom tools and prompts to an MCP server using FastMCP?▼

Add custom tools, resources, and prompts to an MCP server using FastMCP by defining Python functions and registering them within the server architecture to extend capabilities for complex task execution and knowledge base access.

Can I use the MCP Python SDK to expose an internal knowledge base to an AI assistant?▼

Yes, you can use the MCP Python SDK to develop a server that accesses an internal knowledge base, exposing the data through custom resources and prompts so AI assistants can retrieve information to answer employee questions.

What is the best way to debug MCP server connections and tool discovery in Python?▼

Debugging MCP server connections and tool discovery in Python involves checking the FastMCP server logs, verifying STDIO or HTTP transport configurations, and ensuring custom tools are correctly registered within the MCP Python SDK framework.

Do I need FastMCP to create a Model Context Protocol server in Python?▼

FastMCP is a required dependency used alongside the MCP Python SDK to simplify server creation and extension, providing the necessary framework structure to implement tools, resources, and prompts for Model Context Protocol deployments.

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