
Performance Ai Mcp
- Updated July 26, 2026
- CSOAI-ORG/performance-ai-mcp
performance-ai-mcp is a MCP server that connects your coding agent to MEOK AI Labs performance-AI tooling over stdio.
About
performance-ai-mcp is a Model Context Protocol server from MEOK AI Labs that exposes performance-oriented capabilities to AI coding agents over stdio. Developers who ship web apps, APIs, or agent products can register it in Claude Code, Cursor, Codex, or Windsurf so the agent can assist with performance-related tasks inside the same workflow as code changes—without switching to a separate performance SaaS for every question. The catalog listing reflects server.json metadata: PyPI distribution, v1.0.4, and GitHub hosting; you should confirm exact tool names and data sources in the repository before relying on it in production audits. It is best treated as agent tooling in the Ship phase when you are hardening latency, investigating regressions, or preparing launch checklists, complementary to your own APM or Lighthouse runs rather than a replacement for them.
- stdio MCP server (PyPI package performance-ai-mcp v1.0.4) for Claude Code, Cursor, and Codex
- Published under CSOAI-ORG / MEOK AI Labs with GitHub source repository
- Model Context Protocol integration—agent-callable tools, not a standalone CLI skill
- Fits agent-tooling stacks where the model reasons over performance questions in the repo session
- Versioned server manifest (MCP schema 2025-12-11) for repeatable agent config
Performance Ai Mcp by the numbers
- Data as of Jul 27, 2026 (Skillselion catalog sync)
claude mcp add performance-ai-mcp -- uvx performance-ai-mcpAdd your badge
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| Package | performance-ai-mcp |
|---|---|
| Transport | STDIO |
| Auth | None |
| Last updated | July 26, 2026 |
| Repository | CSOAI-ORG/performance-ai-mcp ↗ |
What it does
Wire an AI coding agent to performance-analysis workflows while you tune latency, Core Web Vitals, or load behavior before release.
Who is it for?
Best when you use Claude Code or Cursor and want MCP-wrapped performance assistance during pre-launch tuning.
Skip if: Skip if you require a full observability platform with SLAs, proprietary APM ingest, and no third-party MCP dependency.
What you get
After you register the PyPI stdio server, your agent can invoke performance-ai-mcp tools alongside your codebase during perf hardening.
- Registered stdio MCP server in your agent config
- Agent-accessible performance-ai-mcp tool surface per upstream repo
- Repeatable v1.0.4 server definition for team MCP manifests
By the numbers
- Server version 1.0.4 per MCP server.json
- Transport: stdio
- Package registry: PyPI identifier performance-ai-mcp
README.md
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
MIT © CSOAI-ORG
Built with 💜 by MEOK AI Labs · UK Companies House 16939677
MIT © [MEOK AI Labs](https://meok.ai)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_datato …" - "Use
suggest_optimizationsto …" - "Use
calculate_core_web_vitalsto …"
Recommended MCP Servers
How it compares
MCP integration server from MEOK AI Labs, not a built-in Claude skill or a hosted APM dashboard.
FAQ
Who is performance-ai-mcp for?
Developers and small teams who already use AI coding agents and want performance-oriented MCP tools from MEOK AI Labs in the same session as implementation work.
When should I use performance-ai-mcp?
Use it in the Ship perf subphase when you are optimizing latency, investigating regressions, or validating readiness before launch—not as your only production monitoring system.
How do I add performance-ai-mcp to my agent?
Install the PyPI package performance-ai-mcp (v1.0.4), configure stdio transport in your agent’s MCP settings, and point to the server identifier from the CSOAI-ORG GitHub repository.