Fix SEO while you ship
Pull live page scan issues, GSC queries, and prioritized tasks into Cursor or Claude Code. Act on Optimization and Action Layer findings in the same session where you read the data.
Model Context Protocol
Model Context Protocol (MCP) connects Cursor, Claude, ChatGPT, Codex, and VS Code to your live Bloomiro project. Your AI can use Google Search Console, AI mention checks, community citation sources, competitor gaps, page scans, and prioritized tasks from Bloomiro's proprietary Optimization and Action Layer, without leaving your workflow.
Real workflows from teams connecting Cursor, Claude, and ChatGPT to live Bloomiro data and Optimization and Action Layer findings.
Pull live page scan issues, GSC queries, and prioritized tasks into Cursor or Claude Code. Act on Optimization and Action Layer findings in the same session where you read the data.
Ask your assistant to compare your visibility vs competitors using real competitor scan data from your Bloomiro project, then decide what to improve next.
Run AI presence checks from ChatGPT or Claude. See whether your brand shows up on the prompts your buyers actually ask.
Ask which Wikipedia, Reddit, YouTube, LinkedIn, or review pages show up in answers, then open the exact URLs and prompt IDs from get_community_sources.
Create, update, and close SEO and GEO tasks from MCP. Bloomiro's Action Layer findings stay one list your team can work from in the dashboard or in your AI workflow.
Tools for SEO, GEO, GSC, competitors, AI presence, community sources, and tasks. Call get_mcp_guide only when a request or field is genuinely ambiguous.
get_project_context
Resolve site_id, domain, integrations, permissions, and data freshness.
get_mcp_guide
Compact routing help for ambiguous requests and unfamiliar fields.
get_search_performance
GSC queries, pages, clicks, impressions, CTR, position, and freshness.
get_site_insights
Saved site crawl or combined SEO, GEO, GSC, profile, and AI summary.
get_page_insights
List or read saved page analyses, with full content as a resource.
search_sitemap
Search your site or a competitor sitemap by topic.
get_robots_txt
Compact crawler rules for search and AI user agents.
get_domain_rating
Current Ahrefs Domain Rating with required attribution and license link.
find_opportunities
Highest-priority actions across search, crawls, AI, and competitors.
run_analysis
Start a site, page, visibility, AI presence, or competitor analysis.
get_ai_presence
Overview, prompts, runs, status, or one model result through a view.
get_community_sources
Wikipedia, Reddit, Quora, YouTube, Facebook, LinkedIn, and review pages cited in AI answers (overview, urls, lookup).
get_competitor_insights
Competitor list, scan, visibility gap, or content coverage through a view.
manage_prompts
Create, edit, archive, or restore prompt groups and buyer prompts.
manage_competitors
Add, update, archive, or restore tracked competitors.
get_work_items
Read Action Center checklist items, notes, and priorities (not a billing plan).
manage_work_items
Add, update, complete, move, or remove Action Center checklist items without a full rewrite.
request_gsc_indexing
Ask Google to crawl a URL on your property.
OAuth connect for Claude, ChatGPT, and Perplexity. HTTP MCP for Cursor, VS Code, Claude Code, and Codex.
Need something else? hi@bloomiro.com
Most clients take under two minutes. Sign in once, pick a site, and approve access.
Sign up, add your site, and connect Google Search Console if you use it.
Open the connect flow, sign in, pick a project, and approve access for your MCP client.
Ask what to improve next, where competitors win, or which Action Center item to ship. Your AI works from live Bloomiro data and Optimization and Action Layer findings.
Model Context Protocol (MCP) is an open standard for connecting AI assistants to tools and data. Bloomiro MCP is a server at https://mcp.bloomiro.com/mcp that brings your live Bloomiro project into Cursor, Claude, ChatGPT, Codex, and VS Code. Your AI can read the same Google and AI visibility data, scans, competitor gaps, and prioritized tasks that power Bloomiro's proprietary Optimization and Action Layer in the dashboard.
The Optimization and Action Layer is Bloomiro's proprietary system on top of visibility analytics. The Optimization Layer is where teams view what to optimize and change. The Action Layer turns recommendations into workflows, next steps, and create actions. MCP does not replace that layer. It connects your AI tools to the same project context so you can optimize and act inside Cursor, Claude, or ChatGPT.
Google Search Console (queries, pages, clicks, impressions), Site Scan and Page Scan findings, competitor scans, AI presence results across ChatGPT, Gemini, Perplexity, and Google AI Overviews, community citation sources (Wikipedia, Reddit, Quora, YouTube, Facebook, LinkedIn, reviews), prioritized SEO and GEO tasks, and sitemap search across your site or competitors.
Spreadsheets and screenshots go stale the moment you paste them. MCP returns current project state: the task list after yesterday's deploy, GSC after the weekend sync, or a competitor scan from this morning. Your assistant cites real scores and URLs from your property instead of guessing.
Founders shipping fixes in Cursor or Claude Code, SaaS marketers who research in ChatGPT but need live visibility data, agencies where each teammate connects their own MCP key to shared org projects, and teams doing GEO who want AI mention checks next to traditional SEO tasks.
MCP connects to your personal Bloomiro account via OAuth or your own API key. Organization projects, competitors, and scans follow your org settings. Private tasks and page scans stay private to you and the org owner. You choose which site to authorize during connect. Multi-site users call get_project_context to resolve a domain or site_id, then pass site_id explicitly to later calls.
Cursor, Claude (custom connector), ChatGPT (custom app with Developer mode), Claude Code, Codex, VS Code, and Perplexity connectors. OAuth is the default path. Some clients also support a local stdio server with a token from the connect page.
Most saved-data reads, including project context, tasks, GSC, crawler policy, and the compact MCP guide, are free. Fresh site, page, competitor, visibility, and AI presence analyses use credits under the same rules as the dashboard. run_analysis returns credits_used with the job result.
In your Bloomiro account, open your project's MCP tab in the dashboard. There is a setup guide for each supported client. Use https://mcp.bloomiro.com/mcp as the MCP server URL when your client asks for it.
Yes. Bloomiro MCP can work with Bloomiro's Headless CMS so assistants in ChatGPT, Claude, or Cursor can draft, revise, and publish site pages with your live visibility context. For the CMS-focused walkthrough, see the guide on connecting ChatGPT and Claude to Bloomiro CMS. MCP itself connects your SEO and AI visibility project; CMS publish is a separate capability when Headless is connected.
Yes. MCP access is included on Builder and Growth plans at no extra fee. You still need a Bloomiro subscription and project; MCP connects to your own account, not a shared demo workspace.
Examples: "What are my open SEO tasks?", "How do we compare to competitors on AI visibility?", "Which Reddit or YouTube pages do AI answers cite for us?", "Scan this URL for GEO issues", "What queries drove impressions last month in GSC?", or "Run AI presence on our buyer prompts."
Ask for a Community Sources overview first, then the page list for a platform when you need URLs. Prompt text is optional so responses stay small. It reads your latest completed AI presence run and does not start a new crawl by itself.
Bring live Google and AI visibility data, plus prioritized tasks from Bloomiro's proprietary Optimization and Action Layer, into Cursor, Claude, ChatGPT, Codex, and VS Code. Included on Builder and Growth plans.