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Miguelgarzons Mcp Cun

miguelgarzons/mcp-cun
authHTTPregistry active
Summary

This is a simple greeting tool that generates personalized welcome messages by name. Based on the source code provided, it appears to be built from a Python quickstart template that originally demonstrated a character counter, so the actual greeting functionality may be minimal or still in development. The description suggests it's meant for adding a warm touch to onboarding flows and demos, but without seeing the actual implementation, it's hard to say what greeting styles or customization options are available. If you need basic name personalization for user-facing interactions, this could work, though you'll want to verify what greeting templates or options it actually exposes through its tools.

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Integrate web data into your AI product. One API to scrape website & brand data.
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Make your agent a DeFi expert
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Agent, run crypto. Access onchain data & trade routes via 1inch.
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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:

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

    With uv (recommended):

    uv sync
    

    With poetry:

    poetry install
    

    With pip:

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

    You have two options:

    Option A: Just run the server

    # 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)

    # 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.

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Context.devContext.dev
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Integrate web data into your AI product. One API to scrape website & brand data.
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Registryactive
TransportHTTP
AuthRequired
UpdatedSep 30, 2025
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