FastMCP Server Development
OfficialBuild robust MCP servers with Python.
Authorprovectus
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a comprehensive framework and best practices for building efficient and scalable Model Context Protocol (MCP) servers using Python's FastMCP library.
Core Features & Use Cases
- Tool Exposure: Easily define and expose Python functions as callable tools for AI assistants.
- Resource Serving: Serve static or dynamic data as resources accessible via URIs.
- Prompt Management: Create and manage reusable prompts for guiding AI interactions.
- Server Composition: Organize complex servers into modular, manageable sub-servers.
- Use Case: Develop a data processing backend where an AI can trigger specific data transformation tools, fetch configuration settings, and request formatted reports, all through a unified MCP interface.
Quick Start
Use the FastMCP skill to create a new Python file and define a simple tool that adds two numbers.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: FastMCP Server Development Download link: https://github.com/provectus/awos-recruitment/archive/main.zip#fastmcp-server-development Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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