Performance Ai Mcp
Wire an AI coding agent to performance-analysis workflows while you tune latency, Core Web Vitals, or load behavior before release.
Overview
performance-ai-mcp is a MCP server for the Ship phase that connects your coding agent to MEOK AI Labs performance-AI tooling over stdio.
What is this MCP server?
- 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
- Server version 1.0.4 per MCP server.json
- Transport: stdio
- Package registry: PyPI identifier performance-ai-mcp
What problem does it solve?
You need performance answers inside the agent session while you ship, without copying traces and metrics into chat by hand.
Who is it for?
Indie builders using Claude Code or Cursor who want MCP-wrapped performance assistance during pre-launch tuning.
Skip if: Teams that require a full observability platform with SLAs, proprietary APM ingest, and no third-party MCP dependency.
What do I get? / Deliverables
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
Recommended MCP Servers
Journey fit
Performance work belongs on the Ship shelf because solo builders fix bottlenecks and validate speed right before and during launch, not only after users complain. Perf is the canonical subphase for MCP-backed guidance on measurement, regression checks, and optimization tradeoffs tied to shipping quality.
How it compares
MCP integration server from MEOK AI Labs, not a built-in Claude skill or a hosted APM dashboard.
Common Questions / FAQ
Who is performance-ai-mcp for?
Solo builders 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.