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Defenter Proxy

Real-time semantic security for AI coding agents and MCP tools

Developer Tools stdio pypi pypistdioDefenter-AI
RUN IN TERMINAL
claude mcp add efenter-defenter-proxy -- uvx defenter-proxy
ADD TO claude_desktop_config.json
{ "mcpServers": { "efenter-defenter-proxy": { "command": "uvx", "args": ["defenter-proxy"] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "efenter-defenter-proxy": { "command": "uvx", "args": ["defenter-proxy"] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "efenter-defenter-proxy": { "command": "uvx", "args": ["defenter-proxy"] } } }

About This MCP Server

The defenter-proxy server provides real-time semantic security for AI coding agents and Model Context Protocol tools, enabling secure connections and interactions between these components. It is available on pypi and uses stdio for communication, making it a useful tool for developers working with AI coding assistants. Developers would reach for this tool when they need to ensure secure and reliable communication between their AI coding agents and MCP tools.

Real-time semantic security for AI coding agents and MCP tools. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with developer tools capabilities via the stdio transport.

Package

defenter-proxy on pypi

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on pypi.

What tools does it provide?

The Defenter Proxy server extends your AI assistant with developer tools capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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