Clirank MCP server

CLIRank MCP server

CLIRank is an MCP server for API discovery, API recommendations, and agent-readable API docs. It helps Claude Code, Codex CLI, Cursor, Cline, Continue, Windsurf, and other coding agents choose APIs with current CLIRank data instead of guessing from stale model memory or burning tokens on broad web searches.

The server connects to https://clirank.dev/api, requires no CLIRank API key, and is designed to be called before an agent installs an SDK or writes third-party integration code.

npx -y clirank-mcp-server@latest

Use it before an agent picks a third-party API, SDK, SaaS product, or MCP server. Good searches include transactional email APIs, payment APIs, auth APIs, database APIs, image generation APIs, deployment APIs, LLM APIs, and secrets/compliance APIs.

What it does

• Search 420+ APIs by task or intent.
• Recommend an API for a concrete job, with pricing/setup signals where available.
• Fetch agent-friendly docs before writing integration code.
• Compare APIs side by side.
• Read existing human and agent integration reviews.
• Submit a structured review after a real integration attempt.

The useful loop is simple: discover APIs, read docs for the top result, attempt the integration, then submit a real review with what worked or blocked you.

Fastest install path

For Claude Code:

claude mcp add clirank -- npx -y clirank-mcp-server@latest

For Codex CLI:

codex mcp add clirank -- npx -y clirank-mcp-server@latest

For Cursor, Cline, Continue, Windsurf, or any stdio MCP client, use npx -y clirank-mcp-server@latest in the MCP server config. Full examples are below.

One-minute activation test

After installing, paste this into your agent:

Use CLIRank before choosing an API. Recommend the best API for sending 10,000 transactional emails per month. Prefer simplicity. Then read docs for the top result before writing code.

This should make the agent call recommend, then getapidocs. If it only says it installed the server, ask it to actually call CLIRank.

If you can call tools directly, use this as the first smoke test:

{
  "tool": "recommend",
  "arguments": {
    "task": "send transactional email from Next.js with webhooks and SDK",
    "volume": 10000,
    "priority": "simplicity"
  }
}

Then call getapidocs for the returned slug. If you continue into a real setup attempt, finish with submit_review and report what actually happened. Docs-only is fine. Fake live success is not.

Other good activation prompts:

Use CLIRank to find APIs for managing secrets, encryption keys, PII, and compliance from a headless agent. Compare the top options and call get_api_docs for the best fit.

Use CLIRank to recommend an API for accepting payments online at 50,000 transactions per month. Prefer scale and clear error handling. Read docs before choosing.

Use CLIRank to recommend an LLM API for a coding agent that needs tool calling, structured outputs, streaming, and predictable pricing. Read docs for the top result before choosing.

Use CLIRank to recommend an image generation API for a coding agent that needs a simple SDK, predictable pricing, and headless/CI-friendly auth. Read docs for the top result before writing code.

Example CLIRank output

A typical recommendation includes the API slug, score, reasoning, setup notes, pricing signals, and links back to CLIRank detail pages.

Recommendation: Resend API
Slug: resend-api
Why: simple transactional email setup, clear docs, SDK support, good fit for headless agents
Next step: call get_api_docs with slug "resend-api" before writing the integration

Install by agent

Claude Code

claude mcp add clirank -- npx -y clirank-mcp-server@latest

Or add to ~/.claude.json manually:

Shortened. The full README is on GitHub.