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MCP Server

@santhoshkamalmurthy

Repository

Basic information

Category

Other

Transports

stdio

Author

santhoshkamalmurthy

About MCP Server

No overview available yet

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

MCP Server config

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

{
  "mcpServers": {
    "mcp-server-demo-santhoshkamalmurthy": {
      "command": "uv",
      "args": [
        "init",
        "."
      ]
    }
  }
}

MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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 an implementation that provides integration with various AI services and tools via the Model Context Protocol. It is intended for developers who need to connect MCP-compatible clients to AI services.

How to use MCP Server?

Install Python 3.8+, uv (Universal Virtualenv), then run uv init . and uv add mcp[cli]. Configure the server in a JSON object under mcpServers with the command uv run --with mcp[cli] mcp run /path/to/main.py. Start the server with uv run mcp run main.py.

Key features of MCP Server

  • Integration with various AI services and tools
  • Uses the Model Context Protocol (MCP)
  • Configurable via JSON configuration object
  • Runs with Python 3.8+ and uv

Use cases of MCP Server

  • Connecting AI service tools to MCP‑compatible clients
  • Running a local MCP server for custom AI workflows

Frequently asked questions

1

What are the prerequisites?

Python 3.8 or later and uv (Universal Virtualenv) are required.

2

How do I install the server?

Initialize with `uv init .`, add `mcp[cli]` via `uv add mcp[cli]`, then run `uv run mcp install main.py`.

3

How do I configure the server?

Edit the JSON configuration object, setting the `command`, `args`, and `mcpServers` fields as shown in the README.

4

How do I start the server?

Run `uv run mcp run main.py` from the project directory.

5

What clients is the server compatible with?

The server is designed to work with any MCP‑compatible client.

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