ai.smithery/miguelgarzons-mcp-cun

平台与服务

by miguelgarzons

根据姓名生成友好且个性化的问候消息,为 onboarding、演示和首次接触增添更温暖的体验。

什么是 ai.smithery/miguelgarzons-mcp-cun

根据姓名生成友好且个性化的问候消息,为 onboarding、演示和首次接触增添更温暖的体验。

README

Character Counter MCP Server - Python Quickstart

A simple example of creating an MCP server using FastMCP and Python, designed to work with Smithery.

What This Does

This server provides a character counter tool called count_character that counts how many times a specific character appears in a given text. You'll test it using the Smithery Playground for interactive development.

Prerequisites

  • Python 3.12 or higher
  • A Python package manager (uv recommended, but pip, poetry, etc. also work)
  • Node.js and npx (optional, for Smithery Playground)

Quick Start

  1. Clone the repository:

    bash
    git clone https://github.com/smithery-ai/smithery-cookbook.git
    cd smithery-cookbook/servers/python/quickstart
    
  2. Install dependencies:

    With uv (recommended):

    bash
    uv sync
    

    With poetry:

    bash
    poetry install
    

    With pip:

    bash
    pip install -r requirements.txt
    
  3. Run the server:

    You have two options:

    Option A: Just run the server

    bash
    # With uv
    uv run smithery dev
    # or use the shorter script alias:
    uv run dev
    
    # With poetry
    poetry run smithery dev
    # or use the shorter script alias:
    poetry run dev
    
    # With pip (after installing dependencies)
    smithery dev
    

    This starts the MCP server on http://localhost:8081 and keeps it running.

    Option B: Run server + open playground (recommended for testing)

    bash
    # With uv
    uv run smithery playground
    # or use the shorter script alias:
    uv run playground
    
    # With poetry
    poetry run smithery playground
    # or use the shorter script alias:
    poetry run playground
    
    # With pip (after installing dependencies)
    smithery playground
    

    This starts the MCP server AND automatically opens the Smithery Playground in your browser where you can:

    • Interact with your MCP server in real-time
    • Test the count_character tool with different text and characters
    • See the complete request/response flow
    • Debug and iterate on your MCP tools quickly

Testing the Character Counter

Try asking: "How many r's are in strawberry?"

  1. Deploy to Smithery: To deploy your MCP server:
    • Push your code to GitHub (make sure to include the smithery.yaml)
    • Connect your repository at https://smithery.ai/new

Your server will be available over HTTP and ready to use with any MCP-compatible client!

Stopping the Server

Press Ctrl+C in the terminal to stop the server.

常见问题

ai.smithery/miguelgarzons-mcp-cun 是什么?

根据姓名生成友好且个性化的问候消息,为 onboarding、演示和首次接触增添更温暖的体验。

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