Memmcp

12 MIT

FreeCommunity

AI Systems

Cheat Engine-like but MCP

What is Memmcp

MemMCP is a library that functions similarly to Cheat Engine, designed specifically for MCP (Memory Control Protocol). It serves as a proof of concept for the features it provides.

Use cases

Typical use cases for MemMCP include debugging applications, modifying game states, and experimenting with memory allocation in programming.

How to use

To use MemMCP, clone the repository and modify the mcpserver-config.json file to match your environment settings. Follow the demo link for a visual guide.

Key features

MemMCP offers features such as memory manipulation, real-time data monitoring, and an intuitive interface for interacting with MCP.

Where to use

MemMCP can be utilized in various fields including game development, software testing, and educational purposes related to memory management.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Memmcp

MemMCP is a library that functions similarly to Cheat Engine, designed specifically for MCP (Memory Control Protocol). It serves as a proof of concept for the features it provides.

Use cases

Typical use cases for MemMCP include debugging applications, modifying game states, and experimenting with memory allocation in programming.

How to use

To use MemMCP, clone the repository and modify the mcpserver-config.json file to match your environment settings. Follow the demo link for a visual guide.

Key features

MemMCP offers features such as memory manipulation, real-time data monitoring, and an intuitive interface for interacting with MCP.

Where to use

MemMCP can be utilized in various fields including game development, software testing, and educational purposes related to memory management.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

MemMCP

Cheat Engine-like but MCP (This is a PoC of the feature that this library provides, as-is.)

Demo

https://youtu.be/NlY_R0lm5-M

https://youtu.be/ivDTdxdTAQo

Note

Don’t forget to change the value inside mcpserver-config.json to match your environment

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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