How do I install Performance Ai?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does Performance Ai need an API key?

No required environment variable is listed on this record.

What transport does Performance Ai use?

Performance Ai runs locally over stdio.

When was Performance Ai last checked?

Last checked 2026-11-09. Performance Ai MCP Server by MEOK AI Labs

Performance Ai MCP server

Power your agent

Add this server

The publisher's own command. Not a PlugMCP endpoint.

Add to Cursor Add to VS Code Run on PlugMCP

Host a copy with our keys and logs.

Local command

uvx performance-ai-mcp==1.0.8

Claude Code has no install link for a local command. Copy the command below and run it in a terminal.

shClaude Code

1claude mcp add io.github.csoai-org-performance-ai-mcp -- uvx performance-ai-mcp==1.0.8

Run in a terminal.

jsonClaude Desktop

1{2  "mcpServers": {3    "io.github.csoai-org-performance-ai-mcp": {4      "command": "uvx",5      "args": [6        "performance-ai-mcp==1.0.8"7      ]8    }9  }10}

claude_desktop_config.json

Local · pypiPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Local

Transport: stdio
Version: 1.0.8
Last checked

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

Performance Ai MCP

MEOK AI Labs MCP Server

MEOK AI Labs MCP Server

🚀 Quick Start

# Install via pip
pip install performance_ai_mcp

# Or install via Smithery
npx -y @smithery/cli@latest install performance-ai-mcp --client claude

✨ Features

MCP protocol compliant
Easy installation
Well-documented API
Production-ready
Active maintenance

📖 Documentation

🛡️ Compliance

This MCP server is built with EU AI Act compliance built-in:

✅ Article 9 — Risk Management System
✅ Article 13 — Transparency & Instructions for Use
✅ Article 15 — Bias Detection & Testing
✅ Article 26 — FRIA Support (where applicable)
✅ Article 50 — AI Content Watermarking (where applicable)

Need help getting compliant? Book a free 15-min diagnostic →

🏢 Enterprise

Need custom development, SLA guarantees, or white-label deployment?

Pro: $99/mo — Full MCP suite + EU AI Act tracking
Enterprise: $499/mo — Custom dev + SLA + Dedicated support

View Pricing → | Contact Sales →

🤝 Part of the MEOK Ecosystem

This server is part of the MEOK AI Labs ecosystem — 300+ MCP servers for sovereign AI governance.

Domain	Purpose
councilof.ai	EU AI Act compliance marketplace
safetyof.ai	AI safety & monitoring
meok.ai	Sovereign AI platform
cobolbridge.ai	Legacy modernization

📜 License

Pairs with MEOK Governance Suite

Build something that touches users? You need compliance. MEOK ships 38 governance MCPs that drop in alongside this tool — EU AI Act, DORA, NIS2, CRA, GDPR, ISO 42001, FDA SaMD, MDR, Basel, MiFID II, MiCA, COPPA, and more.

# One-shot install of the governance pack
npx meok-setup --pack governance

Free tier: 10 calls/day per MCP. Pro tier (£79/mo): unlimited + cryptographically signed compliance attestations your auditor verifies independently.

→ Full catalogue: councilof.ai/catalogue → MEOK AI Labs: meok.ai

💸 Try MEOK in 30 seconds — instant buy ladder

Tier	Price	What you get	Stripe
Smoke test	£1	Signed sample MCP-Hardening report + Article 50 PDF	https://buy.stripe.com/5kQ6oJ0xS3ce8sl7ew8k91j
Quick Kit	£9	EU AI Act Article 50 implementation guide (C2PA + EU-Icon)	https://buy.stripe.com/5kQ6oJ0xS3ce8sl7ew8k91j
Founder Call	£29	30-min 1-on-1 with the founder	https://buy.stripe.com/5kQ6oJ0xS3ce8sl7ew8k91j

Refundable. UK Stripe — VAT-clean. Builds on the 81-MCP MEOK fleet. Verify any signed report at https://meok.ai/verify.

Configuration

Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:

{
  "mcpServers": {
    "performance-ai-mcp": {
      "command": "uvx",
      "args": ["performance-ai-mcp"]
    }
  }
}

Or: pip install performance-ai-mcp then run the performance-ai-mcp command (stdio transport).

Examples

Once configured, ask your assistant, for example:

"Use analyze_waterfall_data to …"
"Use suggest_optimizations to …"
"Use calculate_core_web_vitals to …"