MCP server · SEO & GEO
A virtual SEO analyst that runs the audits, drafts the content, and tracks the AI engines.
OpenHelm spins up a remote environment connected to Google Search Console and Ads data, with a stealth browser to audit your pages and probe how generative engines cite your brand. Find striking-distance keywords, draft SEO content, run technical audits, and measure GEO visibility, zero-install via MCP.
What it does
The SEO & GEO server gives your assistant a virtual SEO environment: a cloud setup with live Search Console and Ads data, a stealth browser for on-page and technical audits, and generative-engine probing to measure how ChatGPT, Perplexity and Google AI Overviews cite your brand. Each tool executes multi-step work, research, draft, audit, report, managed by the agentic system end to end.
It is built for growth marketers, content directors and brand managers who need to rank on Google and stay visible inside AI-generated answers, with the research, drafting, auditing and measurement automated.
Endpoint
Add this URL to your MCP client.
https://mcp.openhelm.ai/seo/mcpnpx mcp-remote https://mcp.openhelm.ai/seo/mcpTools
What your assistant can call.
Available on https://mcp.openhelm.ai/seo/mcp
find_keyword_opportunitiesSurface striking-distance keywords (ranking on pages 2–3) with high volume from live search data.
keyword_researchExtract volume, competition and semantic variations from seed keywords or competitor URLs.
write_seo_blog_postDraft structured, keyword-optimised articles with heading structure and semantic terms.
audit_onpage_seoScan page HTML or repo files for meta mismatches, outline gaps and internal-linking opportunities.
audit_technical_seoAudit rendering, Core Web Vitals, canonical targets and indexability.
seo_progress_reportSynthesise ranking movements and performance deltas into a clean organic-growth report.
track_ai_answer_visibilityQuery generative platforms with commercial-intent prompts to measure brand share-of-voice and citations.
optimize_content_for_ai_citationRestructure pages so AI crawlers extract clean, attributable facts, raising citation odds.
geo_competitor_mentionsFind queries where AI engines recommend competitors but omit you, with gap analysis.
check_resultRetrieve finalised keyword tables, audited documents or visibility sheets.
Get started
Connect in under a minute.
Add the remote server
In ChatGPT, Claude, Cursor or any MCP client, add a remote connector pointing at https://mcp.openhelm.ai/seo/mcp. No install, no terminal, no Node setup. For clients that need a local bridge, run npx mcp-remote https://mcp.openhelm.ai/seo/mcp.
Connect your OpenHelm account
Click Connect and you are sent to www.app.openhelm.ai/connect to authorise via OAuth 2.1. Your encrypted OpenHelm API key is wrapped in a signed token, the server itself stores no secrets.
Add a card to start the trial
New accounts add a card to activate a 14-day free trial (you are not billed during the trial). This keeps the shared cloud compute protected from multi-account abuse.
Run tasks from your assistant
Ask your assistant in plain English. It calls the right tool, OpenHelm spins up an isolated cloud browser sandbox, and returns evidence-backed structured results, polling check_result for longer runs.
Want SEO, GEO and AEO run for you as a managed service? See the full organic-growth offering.
See the SEO & GEO use case→Common questions about the SEO & GEO server
Do I need to install anything?
No. OpenHelm MCP servers are remote, Streamable-HTTP servers. You add a URL as a remote connector in ChatGPT, Claude, Cursor or another MCP client. Clients without native remote support can use the lightweight npx mcp-remote bridge.
Where does the work actually run?
Not on the MCP endpoint. When a tool is called, OpenHelm starts an asynchronous agent run in an isolated E2B cloud sandbox that drives a real browser and reads official sources. The MCP layer is stateless: it holds no database and stores no secrets.
What happens with long-running tasks?
The server uses a bounded-wait pattern of about 75 seconds. Fast tasks return their structured result in one turn. Slower tasks return a task_id and your assistant calls check_result a moment later to retrieve the finished output, so connections never time out mid-run.
How is it billed?
Connecting requires an OpenHelm account with a card on file, which starts a 14-day free trial. You are not charged during the trial. After that, usage runs on your OpenHelm plan.
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Want it run for you instead?
The MCP servers put the tools in your assistant. If you'd rather we run the whole workflow as a managed service, book a 20-minute call and we'll scope it.