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MCP Server

MCP Server

Local
github.com/santhoshkamalmurthyDeveloper Tools0Updated 78w ago
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About MCP Server

MCP Server is a Python-based MCP server implementation with setup and run instructions for MCP-compatible clients. The README describes configurable server launch settings but does not identify specific AI services or tools.

Key features

  1. 01Python 3.8+ and uv setup
  2. 02Run the server with the MCP CLI
  3. 03Configure server commands and arguments
  4. 04Use with MCP-compatible clients

Use cases

  1. 01Set up a Python MCP server project
  2. 02Launch a server using the MCP CLI
  3. 03Customize MCP server launch configuration

MCP support

It is an MCP server intended for use with MCP-compatible clients. The README does not specify which tools or resources it exposes.

#mcp-server#ai-integration#server-implementation

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Server

A powerful MCP server implementation that provides integration with various AI services and tools.

🚀 Getting Started

Prerequisites
  • Python 3.8+
  • uv (Universal Virtualenv)
Installation
  1. Initialize the project:
uv init .
uv add mcp[cli]
uv run mcp install main.py
  1. Configure the server:
{
  "mcpServers": {
    "AI Sticky Notes": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "mcp",
        "run",
        "/Users/yennam/Downloads/temp/AI/mcp-server/main.py" //path to our mcp server
      ]
    }
  }
}

🚀 Running the Server

Start the MCP server with:

uv run mcp run main.py

📡 Server Configuration

The server can be configured by modifying the JSON configuration object. Key parameters include:

  • command: The command to run the server
  • args: Array of arguments for the server execution
  • mcpServers: Configuration for different MCP server instances

📄 Additional Notes

  • Ensure all dependencies are installed before running the server
  • The server is designed to work with MCP-compatible clients
  • Configuration can be customized based on specific requirements

📬 Support

For questions or issues, please open an issue in this repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.