MCP Server from Scratch

by KunjShah95

This project demonstrates how to build an MCP (Model Context Protocol) server from scratch using Python. It allows users to connect and interact with the server by handling MCP packets efficiently.

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What is MCP Server from Scratch?

This is a Python-based implementation of an MCP (Model Context Protocol) server, designed to handle context and model interactions as used in AIML. It provides a foundation for building a server that can parse, serialize, and manage MCP packets.

How to use MCP Server from Scratch?

To use this server, clone the repository, navigate to the project directory, install the required dependencies using pip install -r requirements.txt, and then run the server using python server.py. You can then connect to the server using an MCP client.

Key features of MCP Server from Scratch

Custom MCP Handling
Packet Parsing and Serialization
Multiplayer Server Capabilities
Detailed Documentation

Use cases of MCP Server from Scratch

Developing AIML applications
Creating custom AI interaction servers
Implementing context management in AI models
Building multiplayer AI environments

FAQ from MCP Server from Scratch

What is MCP?

MCP stands for Model Context Protocol, used in AIML to handle context and model interactions.

What dependencies are required?

The required dependencies are listed in the requirements.txt file. You can install them using pip install -r requirements.txt.

How do I run the server?

After installing the dependencies, navigate to the project directory and run the server using the command python server.py.

Can I contribute to this project?

Yes, contributions are welcome! Fork the project, create a feature branch, commit your changes, push to the branch, and open a pull request.

What license is this project distributed under?

This project is distributed under the MIT License. See the LICENSE file for more information.