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MCP Server

MCP Server

Local
github.com/ajerniDeveloper Tools0Updated 79w ago

About MCP Server

A small personal MCP server that exposes utility functions as tools. It is intended as a test project and includes arithmetic and greeting tools, with a decorator-based pattern for adding more functions.

Key features

  1. 01Add two numbers
  2. 02Multiply two numbers
  3. 03Return information about Andi
  4. 04Greet a user by name
  5. 05Add tools with an MCP decorator

Use cases

  1. 01Test a personal MCP server setup
  2. 02Perform addition through an MCP tool
  3. 03Perform multiplication through an MCP tool
  4. 04Extend the server with custom functions

MCP support

Exposes arithmetic and greeting functions as tools to MCP clients. The README describes adding further tools with the `@mcp.tool()` decorator.

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

This is a simple Model Context Protocol (MCP) server implementation that exposes several utility functions as tools.

Purpose

Andi's personal MCP server test on glama.ai / Used in cursor with:

pip install "mcp[cli]"

Available Tools

The server provides the following tools:

  • add: Add two numbers
  • multiply: Multiply two numbers
  • andigreeter: Responds with information about Andi
  • namegreeter: Greets a user by name

Custom Development

To add more tools, simply define new functions with the @mcp.tool() decorator:

@mcp.tool()
def your_function(param1: type, param2: type) -> return_type:
    """Description of your function"""
    # Your code here
    return result

Comments

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New to MCP?

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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.