Model Context Protocol (MCP) Server

Created By
shaswata-das10 months ago
Overview

what is Model Context Protocol (MCP) Server?

The MCP Server is a modular server designed for AI services, allowing dynamic selection of AI models and multiple transport options for communication.

how to use MCP Server?

To use the MCP Server, clone the repository, set up your environment, and run the server in your desired mode (stdio, TCP, or WebSocket).

key features of MCP Server?

  • Supports multiple AI services including Claude and OpenAI.
  • Dynamic service selection per request.
  • Multiple transport options: stdio, TCP, and WebSocket.
  • JSON-RPC 2.0 compliant interface.
  • Modular architecture for easy extension.
  • Environment configuration via a .env file.
  • Real-time response streaming for supported transports.

use cases of MCP Server?

  1. Integrating various AI services into applications.
  2. Real-time data processing and response generation.
  3. Building command-line tools or web applications that require AI capabilities.

FAQ from MCP Server?

  • What AI services does MCP Server support?

It supports Claude, OpenAI, and mock services for testing.

  • How can I run the server?

You can run it in stdio, TCP, or WebSocket mode using command line options.

  • Is there a way to extend the server?

Yes! You can add new method handlers, AI services, or transport options by following the provided guidelines.

Project Info
Created At
10 months ago
Updated At
10 months ago
Author Name
shaswata-das
Star
0
Language
Python
License
MIT license

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