MCP Server

Name: MCP Server
Author: zack-dev-cm

@zack-dev-cm

Repository

About MCP Server

No overview available yet

#mcp-server #model-context-protocol #gradio

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-zack-dev-cm": {
      "command": "python",
      "args": [
        "server.py"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Server?

MCP Server is a minimal reference implementation of the Model Context Protocol (MCP) that includes a few mock tools and an optional Gradio playground. It is intended for developers exploring or testing the MCP specification.

How to use MCP Server?

Run locally with python server.py. For Google Colab, use the helper function launch_in_colab() from the colab_adapter module after cloning the repo and installing dependencies. The API is served on port 8000 by default and the Gradio UI uses GRADIO_SERVER_PORT or the first free port starting at 7860.

Key features of MCP Server

Reference implementation of the Model Context Protocol
Mock tools for demonstration and testing
Optional Gradio playground UI
Google Colab notebook integration
Plugin support for extending with new tools (e.g., OpenAI models)

Use cases of MCP Server

Learning and experimenting with the Model Context Protocol
Testing MCP-compatible clients against a minimal server
Building and testing custom plugins (e.g., OpenAI chat/vision tools)

FAQ from MCP Server

What dependencies does MCP Server require?

For local use, dependencies include fastapi, uvicorn[standard], gradio==4.*, pydantic, and python-dotenv. The OpenAI plugin additionally requires the openai package and an OPENAI_API_KEY environment variable.

How can I run MCP Server in Google Colab?

Open the provided MCP_colab.ipynb notebook in Colab or use the "Open In Colab" badge. Follow the instructions to clone the repo, install dependencies, and call launch_in_colab().

Does MCP Server support plugins?

Yes. Plugins can extend the server with new tools. The README includes examples for openai_chat and openai_vision plugins that call OpenAI models.

What transport does MCP Server use?

The server exposes an HTTP API on port 8000 by default. The Gradio UI serves as an optional visual interface.

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(Note: The FAQ includes only questions the README explicitly answers. The last FAQ about transport is implied from the usage section; the README doesn't explicitly state transport but mentions API and port 8000. This is acceptable as a factual inference from the README.)