
MCPower Security Proxy
io.github.MCPower-SecurityPublished by GitHub account MCPower-Securityv0.0.91Updated Oct 24, 2026
Security proxy that automatically wraps MCP servers with real-time monitoring and policy enforcement
Overview
A local Python proxy that wraps MCP servers and coding agents with real-time monitoring and policy enforcement, allowing, redacting or blocking risky calls.
- What you can do
- Intercept and monitor MCP tool calls and responses, coding agent prompts and responses, and agent-triggered file reads and shell commands in the IDE, with a live monitoring view of actions and decisions. Analyze payloads for sensitive information, data leaks, context contamination and prompt injection, redacting secrets and PII on the client side before anything leaves the machine. Enforce security policies by returning allow, redact, need-more-info or block decisions in real time. No tools are listed in the manifest, so the exact callable surface is not documented here.
- When to use it
- Worth adding when you run AI coding agents or MCP servers in VS Code, Cursor or Claude Code and want a guardrail that inspects what agents are about to share or execute. It suits teams worried about leaking secrets or customer data through agent actions.
- Requirements
- Runs as a local process on the user's machine, installed from PyPI as mcpower-proxy and launched with uvx, so a Python runtime and uv are needed. The README describes a cloud-powered policy engine that receives a minimal, redacted payload, so network access to that service is implied. The manifest declares no authentication, environment variables or headers. Desktop only; no web executable.
Installation
In SourceWeft
- Open MCPower Security Proxy in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
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:
- VS Code Marketplace: Install Defenter
- Open VSX (Cursor and others): Install Defenter
- Claude Code: install Defenter plugin
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
Source: README.md at commit b6415f6
Tools
0Version history
1- v0.0.91LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts