MCP server

Api Perf Analyzer

io.github.lazymac2x/api-perf-analyzer

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Cloudflare Workers MCP server: api-perf-analyzer

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

4

Token cost

About 528 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http api-perf-analyzer https://api.lazy-mac.com/api-perf-analyzer/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.api-perf-analyzer]
url = "https://api.lazy-mac.com/api-perf-analyzer/mcp"

Gemini CLI

{"mcpServers":{"api-perf-analyzer":{"httpUrl":"https://api.lazy-mac.com/api-perf-analyzer/mcp"}}}

Cursor

{"mcpServers":{"api-perf-analyzer":{"url":"https://api.lazy-mac.com/api-perf-analyzer/mcp"}}}

VS Code

{"servers":{"api-perf-analyzer":{"type":"http","url":"https://api.lazy-mac.com/api-perf-analyzer/mcp"}}}

Antigravity

agy mcp add api-perf-analyzer https://api.lazy-mac.com/api-perf-analyzer/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"api-perf-analyzer","server_url":"https://api.lazy-mac.com/api-perf-analyzer/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"api-perf-analyzer","server_url":"https://api.lazy-mac.com/api-perf-analyzer/mcp"}

Tools

• bottleneck_detect ~150 tokens
  Identify which component (DB, external API, compute) is the dominant latency source.
• cache_opportunity ~94 tokens
  Detect missing or suboptimal HTTP caching headers and get prioritized fixes.
• optimization_suggest ~130 tokens
  Get a prioritized, actionable optimization plan. Accepts raw metrics or the output of perf_analyze.
• perf_analyze ~154 tokens
  Grade API response time (A–D), compute throughput and data efficiency, get targeted recommendations.

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