Give Claude Your Entire SEO Stack
Stop juggling SEO tools. SEOMCP connects Claude directly to keyword research, site audits, and rank tracking — one MCP server, every workflow.
Request Early AccessOne Server, Every SEO Workflow
SEOMCP exposes professional SEO tools as MCP tool calls. Claude handles the rest.
Keyword Research
Discover untapped keyword opportunities with volume, difficulty, and CPC data — all through a single MCP tool call.
mcp.keyword_research({
seed: "ai seo tools",
market: "us"
})Site Audit
Run comprehensive technical SEO audits that catch missing meta tags, slow pages, broken links, and accessibility issues.
mcp.site_audit({
url: "https://example.com",
depth: 100
})Competitor Analysis
Compare backlink profiles, find link gap opportunities, and track domain authority changes across your competitive landscape.
mcp.competitor_analysis({
target: "mysite.com",
competitors: ["rival.com"]
})Get Early Access
Join the waitlist to be first in line when SEOMCP launches.
Frequently Asked Questions
What is SEO MCP?
SEO MCP is an AI-native SEO service that exposes professional SEO tools via the Model Context Protocol (MCP). It gives AI agents like Claude direct, structured access to keyword research, site audits, rank tracking, backlink analysis, and competitor analysis — all through a single MCP server connection.
How does SEO MCP work?
SEO MCP runs as an MCP server that your AI agent connects to. Once connected, the agent can call structured SEO tools directly — for example, calling mcp.keyword_research() with a seed keyword returns volume, difficulty, and CPC data instantly. No manual copy-paste, no switching between dashboards. The agent gets machine-readable SEO data and acts on it in the same workflow.
What SEO tasks can AI agents perform?
AI agents connected to SEO MCP can perform keyword research and topic clustering, run full technical site audits (missing meta tags, slow pages, broken links), track keyword rankings over time, analyze backlink profiles, identify link gap opportunities, and perform competitor domain analysis. All results are returned as structured data the agent can reason over and act on.