Feature

Let AI agents run your SEO.

Pinealizer exposes an MCP server with 11 tools that AI agents can call directly: run audits, get scores, generate content, and more.

The Model Context Protocol (MCP) server lets AI agents interact with Pinealizer programmatically. 11 tools are available: run_audit, get_audit, get_recommendations, get_score, get_visibility_score, generate_content, and more. AI agents like Claude, GPT, and custom agents can call these tools to automate SEO workflows without any human interface.

Available MCP Tools

run_audit: trigger a new audit. get_audit: retrieve results. get_recommendations: get prioritized fix list. get_score: get current scores. get_visibility_score: get AI visibility metrics. generate_content: create optimized content. Plus 5 additional tools for keyword data, competitor analysis, and reporting.

Use Cases

Build a Claude agent that audits your site daily and auto-fixes issues. Create a GPT that answers team questions about SEO health using real audit data. Build custom AI workflows that combine Pinealizer data with other tools via MCP. This is the future of SEO: AI agents managing visibility autonomously.

Highlights

MCP Server at a Glance

11 MCP tools

AI agent integration

Audit automation

Score retrieval

Content generation

API key authentication

FAQ

MCP Server FAQ

What is MCP?

The Model Context Protocol (MCP) is a standard for AI agents to interact with tools. Pinealizer's MCP server exposes 11 tools that any MCP-compatible AI agent can call to run audits, get scores, and generate content.

Who is MCP for?

Developers building AI-powered SEO workflows. Agencies automating audit delivery. AI-first teams that want SEO managed by agents rather than humans. Anyone who believes AI should run SEO, not just report on it.

Ready?

Try it free

Run your first audit in 90 seconds. No card required.

Free Visibility Score