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M
Major Project
This project implements a full-stack AI agent system inspired by the model context protocol, including a React front-end and a FastAPI back-end. The back-end serves as an AI coordinator, using Google Gemini to parse natural language instructions, safely call the file system, browser, or GitHub tools to perform tasks, and return the structured results to the front-end. The system focuses on software development scenarios, providing secure sandbox file operations, real-time web browsing, and repository inspection functions, and visualizing the tool call process.
Python
3.7K
2 points
M
MCP Server Code Execution Mode
This is a server that implements the MCP code execution mode. Through a single-tool bridge and zero-context discovery mechanism, it reduces the overhead of MCP tool calls from tens of thousands of tokens to about 200 tokens and securely executes Python code in the root container, supporting data science and secure isolation.
Python
6.9K
3.5 points
M
MCP Tcl Udf Server
The TCL MCP Server is a server that supports AI agents to execute TCL scripts and manage the MCP tool ecosystem. It provides a secure sandbox and a developer-friendly experience, and supports multiple runtime environments.
Rust
7.0K
2.5 points
Docker Code Sandbox
A Docker-based secure code execution environment that provides isolated sandbox support for the MCP protocol
Python
8.9K
2.5 points
D
Deno MCP
A secure MCP server that allows AI assistants to execute TypeScript and JavaScript code through the Deno runtime, with configurable permission control and lightweight characteristics.
TypeScript
3.9K
2 points
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