MCP Snitch
MCP Snitch is a real-time security monitoring solution that protects API keys, whitelists tool calls, and provides complete control over MCP environments through AI-powered security analysis.
https://mcpsnitch.ai/?ref=producthunt
Product Information
Updated:Sep 19, 2025
What is MCP Snitch
MCP Snitch is a security-focused monitoring platform designed specifically for Model Context Protocol (MCP) environments. Launched as a critical solution for AI infrastructure security, it addresses the vulnerabilities and poor security practices often found in MCP servers, such as exposed API keys and unauthorized file access. The platform offers both free personal use and enterprise-grade features, making it accessible to individual developers while being scalable for larger organizations.
Key Features of MCP Snitch
MCP Snitch is a real-time security monitoring tool for Model Context Protocol (MCP) environments that provides intelligent oversight through LLM judges, API key protection, and tool call whitelisting. It offers comprehensive security features including real-time monitoring of input/output patterns, secure credential management, detailed audit trails, and integration with popular IDEs like VS Code and Cursor.
LLM Judge Monitoring: Deploys AI judges to evaluate every tool call in real-time, analyzing input/output patterns to detect suspicious behavior and potential security threats
API Key Protection System: Automatically moves sensitive credentials from config files to a secure keystore, preventing exposure and maintaining secure secret management
Granular Tool Control: Provides precise whitelist control over which MCP tools can be executed, with options for per-call approval and real-time alerts for new tool calls
Comprehensive Audit Trail: Maintains detailed logs of all MCP tool interactions with complete visibility into input/output patterns and security events
Use Cases of MCP Snitch
Enterprise Security Compliance: Organizations can maintain SOC 2 and ISO 27001 compliance while using MCP tools through centralized management and comprehensive audit trails
Development Environment Protection: Developers can safely integrate AI assistants into their workflow while protecting sensitive codebases and API credentials
Multi-Team Collaboration Security: Teams can collaborate safely on AI-powered projects with centralized security policies and real-time monitoring of tool interactions
Pros
Free for personal use with no credit card required
Seamless integration with popular IDEs
Real-time intelligent security monitoring with AI judges
Cons
HTTP server support not yet available (coming soon)
Limited IDE support (currently only VS Code and Cursor)
How to Use MCP Snitch
Install MCP Snitch: Visit mcpsnitch.ai and install the tool. It's free for personal use with no credit card required.
IDE Integration: Install MCP Snitch extensions for your preferred IDE (VS Code or Cursor currently supported)
Configure Security Settings: Set up your security preferences including tool whitelisting, API key protection, and monitoring policies through the dashboard
Enable LLM Judge Monitoring: Activate the AI monitoring feature that evaluates tool calls in real-time for security threats
Set Up API Key Protection: Allow MCP Snitch to automatically move sensitive API keys to its secure keystore
Configure Tool Whitelisting: Define which MCP tools are allowed to run and set approval requirements for specific tool calls
Enable Real-Time Alerts: Set up notification preferences for new tool calls with trust options (always, once, or block)
Monitor Security Dashboard: Access the dashboard to view real-time monitoring of all MCP tool interactions and security events
Review Audit Trails: Check detailed logs and analysis of all MCP tool interactions through the visibility features
Manage Trusted Servers: Maintain and update your whitelist of verified MCP servers for enhanced security
MCP Snitch FAQs
MCP Snitch is a real-time security monitoring tool for MCP (Model Context Protocol) environments that helps protect API keys, whitelist tool calls, and maintain control over MCP tools through AI-powered security monitoring.
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