Odel
MCP server: One MCP server.

MCPower Security Proxy

@mcpower-securityMCP server · External

Security proxy that automatically wraps MCP servers with real-time monitoring and policy enforcement

AI agent governancev0.0.91Apache-2.0Python
Freeno charge per call
How to install

Runs on your machine from its package; the steps are below.

What it does

  1. Reads
  2. Writes
  3. High impact

At most: moves money, runs code or commands, deletes data, or sends messages for you.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Runs locally over stdio

This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).

PyPImcpower-proxyv0.0.91

Run

uvx mcpower-proxy

MCP client config

{
  "mcpServers": {
    "mcpower-security-proxy": {
      "command": "uvx",
      "args": [
        "mcpower-proxy"
      ]
    }
  }
}
README2 min read

Defenter

Real-time semantic security for AI coding agents and MCP tools in VS Code, Claude Code and Cursor.

Defenter monitors every prompt, every coding agent tool call, every MCP server call, and key file and shell operations in your IDE. It acts as a semantic policy broker that understands what agents are doing, not just where they send data, so you can use AI coding agents without leaking secrets or customer data.

🚀 How to use

The simplest way to use Defenter is to install the VS Code or Cursor extension:

Once installed, the extension automatically intercepts and protects:

  • MCP server calls
  • Coding agent prompts and responses
  • File reads and shell commands triggered by the agent

No manual MCP configuration is needed.

Overview

Defenter is a semantic policy broker for AI coding agents. It adds an intelligent security layer inside your IDE that:

  • Intercepts every coding agent prompt and action
  • Wraps every MCP tool call and response
  • Analyzes the payload for sensitive information and risky behavior in real time
  • Enforces your security policies with allow, redact, or block decisions

Traditional security tools cannot see what an agent is about to share or execute. They look at apps and destinations, not at the intent and content of an agent’s actions.

Defenter bridges this gap by:

  • Preventing data leaks and context contamination
  • Providing clear, visual monitoring of every agent decision

Architecture and how it works

This repository contains the Defenter proxy and related components that secure MCP and coding agent traffic.

Defenter is built as a Python based proxy and local middleware that the IDE extension uses to enforce policy. At a high level:

  • Local middleware layer

    • Runs on the developer machine
    • Hooks coding agent prompts, file reads, and shell executions
    • Intercepts all MCP tool calls and responses
    • Performs client side redaction of secrets and PII

  • Cloud powered policy engine

    • Receives a minimal, redacted payload
    • Uses a classifier and analyzer to check for data leaks, context contamination, and prompt injection
    • Returns Allow, Redact, Need more info, or Block decisions in real time
    • Works with low latency to make sure the development flow in without friction

  • IDE integration

    • Seamless integration with VS Code and Cursor extensions
    • Shows a live monitoring view of all agent actions and Defenter decisions directly inside the IDE

Together, these pieces let you harness AI coding agents and MCP tools without compromising the security of your code, data, or workflows.

References

Python Proxy: See src/README.md for detailed implementation documentation

VSC Extension: See targets/vsc-extension/README.md for installation and user guide

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