{
  "name": "python-mcp-development",
  "description": "Complete toolkit for building Model Context Protocol (MCP) servers in Python using the official SDK with FastMCP. Includes instructions for best practices, a prompt for generating servers, and an expert chat mode for guidance.",
  "version": "1.0.0",
  "author": {
    "name": "Awesome Copilot Community"
  },
  "repository": "https://github.com/github/awesome-copilot",
  "license": "MIT",
  "tags": [
    "python",
    "mcp",
    "model-context-protocol",
    "fastmcp",
    "server-development"
  ],
  "display": {
    "ordering": "manual",
    "show_badge": true
  },
  "items": [
    {
      "path": "instructions/python-mcp-server.instructions.md",
      "kind": "instruction"
    },
    {
      "path": "prompts/python-mcp-server-generator.prompt.md",
      "kind": "prompt"
    },
    {
      "path": "agents/python-mcp-expert.agent.md",
      "kind": "agent",
      "usage": "recommended\n\nThis chat mode provides expert guidance for building MCP servers in Python with FastMCP.\n\nThis chat mode is ideal for:\n- Creating new MCP server projects with Python\n- Implementing typed tools with Pydantic models and structured output\n- Setting up stdio or streamable HTTP transports\n- Debugging type hints and schema validation issues\n- Learning Python MCP best practices with FastMCP\n- Optimizing server performance and resource management\n\nTo get the best results, consider:\n- Using the instruction file to set context for Python/FastMCP development\n- Using the prompt to generate initial project structure with uv\n- Switching to the expert chat mode for detailed implementation help\n- Specifying whether you need stdio or HTTP transport\n- Providing details about what tools or functionality you need\n- Mentioning if you need structured output, sampling, or elicitation"
    }
  ]
}