mcpbeat

API Perf Analyzer MCP Server

io.github.lazymac2x/api-perf-analyzer
answering

API Perf Analyzer is answering right now. Last checked 15 min ago. It exposes 4 tools. Last commit 18 Apr 2026.

Cloudflare Workers MCP server: api-perf-analyzer

Uptime history 39 hours of history
39 hours agonow
100.0%
Uptime 24h
91 of 91 checks
4
Tools
read from the server
145 ms
Response time
average over 24h
0
Stars
last commit 18 Apr 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 15 min ago.

run in your terminal
claude mcp add api-perf-analyzer --transport http https://api.lazy-mac.com/api-perf-analyzer/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "api-perf-analyzer": {
      "url": "https://api.lazy-mac.com/api-perf-analyzer/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.api-perf-analyzer]
url = "https://api.lazy-mac.com/api-perf-analyzer/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "api-perf-analyzer": {
      "url": "https://api.lazy-mac.com/api-perf-analyzer/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "api-perf-analyzer": {
      "url": "https://api.lazy-mac.com/api-perf-analyzer/mcp"
    }
  }
}

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

bottleneck
bottleneck_detect
Identify which component (DB, external API, compute) is the dominant latency source.
cache
cache_opportunity
Detect missing or suboptimal HTTP caching headers and get prioritized fixes.
optimization
optimization_suggest
Get a prioritized, actionable optimization plan. Accepts raw metrics or the output of perf_analyze.
perf
perf_analyze
Grade API response time (A–D), compute throughput and data efficiency, get targeted recommendations.

Endpoints

URLTransportStateLatencyChecked
https://api.lazy-mac.com/api-perf-analyzer/mcp streamable-http answering 168 ms 15 min ago

API Perf Analyzer — questions

Answers built from our own checks of this server.

What can API Perf Analyzer do?
It exposes 4 tools, read directly from the server on our last check. Among them: bottleneck_detect, cache_opportunity, optimization_suggest, perf_analyze. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is API Perf Analyzer working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 145 ms. The bar chart above shows every period we have measured.
How do I connect API Perf Analyzer?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does API Perf Analyzer need an API key?
No. API Perf Analyzer completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is API Perf Analyzer?
It answers our handshake in 145 ms on average, which is faster than 74% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is API Perf Analyzer open source?
Yes — written in JavaScript and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.