Outrank

License: MIT Python MCP

MCP server for Outrank, the autonomous SEO content engine built by Tibo Maker. 5 tools for AI agents to verify credits, list managed website products, queue keyword research, generate SEO long-form articles (with optional auto-publish to the connected CMS), and fetch finished article content.

As of May 2026, Outrank does not ship an official MCP server, and no community-built attempt exists. Pure GREEN whitespace.

The 5 tools

Tool	Purpose
check_auth_and_credits	Verify the API key and retrieve remaining article-generation credits
list_products	List active website products (managed sites) in the organization
generate_keywords	Queue keyword cluster research for a product on a broad topic
generate_article	Generate an SEO long-form article targeted at a specific keyword (optional auto-publish)
get_article_content	Fetch the raw markdown + HTML content for a finished article

Install

pip install outrank-mcp

Configure

export OUTRANK_API_KEY="outr_live_your-outrank-api-key"

Get your API key in your Outrank Dashboard under Settings -> API keys. Keys are prefixed outr_live_. The MCP sends the key as a Bearer token; keep it server-side only.

Use with Claude Desktop

{
  "mcpServers": {
    "outrank": {
      "command": "outrank-mcp",
      "env": {
        "OUTRANK_API_KEY": "outr_live_your-outrank-api-key"
      }
    }
  }
}

Restart Claude Desktop. The 5 Outrank tools are now available.

Use case: autonomous SEO content loop

Typical agent flow:

1. Call check_auth_and_credits() to confirm the API key is valid and there are remaining credits for article generation
2. Call list_products() to see which managed websites you can target
3. Call generate_keywords(product_id, topic) to queue keyword research on a broad topic
4. Call generate_article(product_id, keyword, auto_publish=false) to generate a long-form SEO article (set auto_publish=true to push to the connected CMS automatically)
5. Call get_article_content(article_id) to fetch the finished markdown + HTML for review or further agent processing

The full content loop runs through these 5 tools without leaving the agent.

Architecture

• Public MIT-licensed wrapper around the Outrank REST API v1
• Async HTTP via httpx
• pydantic v2 input validation
• Bearer token auth, server-side only
• Rate-limit aware (Outrank caps at 120 RPM and 10,000 RPD per key; the client reads Retry-After + X-RateLimit-* headers on 429 responses)

Development

git clone https://github.com/NoBanks/outrank-mcp.git
cd outrank-mcp
pip install -e ".[dev]"
pytest

License

MIT. See LICENSE.

Author

Ryan Hammer (NoBanks). Solo founder + engineer. Built this and 13 other MCP servers as part of a sprint to expose AI agent rails for the products and platforms shipping daily. Built outrank-mcp specifically as a same-day material reply to Tibo Maker's May 28 2026 newsletter asking which manual work people want AI agents to handle.

• GitHub: @NoBanks
• X/Twitter: @livingagentic
• Site: livingagentic.me, nohumannearby.com

Open to AI engineering roles, contract or full-time, remote-only.