Network Capture
bysfgarza
0Captures and analyzes HTTP(S) and WebSocket network traffic, providing AI agents with insights and natural language query capabilities.
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
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