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performance-ai-mcp

v1.0.0

Published

Performance Ai automation via MCP. Includes analyze waterfall data, suggest optimizations, calculate core web vitals. By MEOK AI Labs.

Vulnerabilities

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Links

Git

Maintainers

csga_globalcsga_global

Keywords

mcpmcp-servermeok-ai-labs

Readme

Performance Ai

By MEOK AI Labs — MEOK AI Labs MCP Server

Performance AI MCP Server

Installation

pip install performance-ai-mcp

Usage

# Run standalone
python server.py

# Or via MCP
mcp install performance-ai-mcp

Tools

analyze_waterfall_data

Analyze a resource loading waterfall for performance bottlenecks.

Parameters:

  • resources (str)

suggest_optimizations

Suggest performance optimizations based on page characteristics.

Parameters:

  • page_data (str)

calculate_core_web_vitals

Calculate and rate Core Web Vitals scores.

Parameters:

  • lcp_ms (float)
  • fid_ms (float)
  • inp_ms (float)

image_optimization_hints

Analyze images and suggest optimization strategies.

Parameters:

  • images (str)

Authentication

Free tier: 15 calls/day. Upgrade at meok.ai/pricing for unlimited access.

Links

License

MIT — MEOK AI Labs