Miguelgarzons Mcp Cun

ai.smitheryv1.15.0Updated Sep 30, 2026

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Installation

In SourceWeft

  1. Open Miguelgarzons Mcp Cun in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "miguelgarzons-mcp-cun": {
      "type": "http",
      "url": "https://server.smithery.ai/@miguelgarzons/mcp-cun/mcp"
    }
  }
}

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.gitcd 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 uvuv run smithery dev# or use the shorter script alias:uv run dev
    # With poetrypoetry 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 uvuv run smithery playground# or use the shorter script alias:uv run playground
    # With poetrypoetry 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.

Source: README.md at commit df0b8f6

Tools

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Version history

1
  1. v1.15.0LatestSep 16, 2026