Network Capture

About

Network Capture provides AI agents with a powerful MCP server that captures and analyzes HTTP(S) and WebSocket network traffic from applications. It integrates a lightweight proxy server and database, enabling AI to analyze request/response patterns, identify performance bottlenecks, detect anomalies, and respond to natural language queries about network activity. This empowers AI-assisted debugging, performance analysis, and automated monitoring of application network interactions, making it ideal for development and testing environments.

Key Features

• Performance Monitoring with response time tracking and bottleneck detection
• Multiple Export Formats (JSON, CSV, HAR) with automatic health monitoring
• 0 GitHub stars
• AI-Powered Analysis using natural language queries
• HTTP/HTTPS & WebSocket Traffic Capture with complete request/response data

Use Cases

• Natural Language Queries: Ask AI agents about API call failures or slow endpoints
• AI-Assisted Debugging: Analyze request/response patterns, headers, and payloads to identify root causes
• Performance Analysis: Identify slow endpoints and receive optimization recommendations from AI