SEO + GEO tools in your AI editor: scan as ChatGPT and Google crawlers see it, fix order, llms.txt.
Growthr SEO + GEO MCP is a remote MCP server published at mcp.growthr.com. It has been probed 12 times since 9/12/2026. It answered in 12 of them (100.0%), a near-uninterrupted record. Median response time is 424 ms, placing it among the faster endpoints. It offers a narrow, focused set of 4 tools. On the protocol side it still runs 2025-11-25 and has not moved to the newer spec.
Can an LLM agent pick the right tool here — names, descriptions and parameter clarity are assessed.
growthr_llms_txt — Description leaves 'when to use' section undefined, creating ambiguity.growthr_ai_visibility — Vague 'buyer-shaped prompt' definition lacks actionable examples.growthr_llms_txt — Name 'llms_txt' assumes familiarity with llmstxt.org format.Risk: low
tools/list structure, inputSchema validity, and a functional smoke test — the components of the 0-100 score.
Tools the server advertised in the latest measurement — measured, not catalog-claimed.
growthr_scanFetch a public domain the way search engines and AI crawlers do (ChatGPT's GPTBot, Claude's ClaudeBot, and the fetchers behind Perplexity and Google AI Overviews: from a datacenter IP, no JavaScript) and run 22 weighted checks: reachability as a browser, GPTBot, and ClaudeBot; server-rendered content; metadata; strict JSON-LD and Organization schema; robots.txt access for AI crawlers; llms.txt and an in-page link to it; sitemap; honest 404s; markdown negotiation; trust pages; speed; and on-page SEO (title, description, single h1, viewport, alt text, favicon). Returns a 0-100 score and every check with pass/fail, what was found, and a fix hint. Reads about a dozen public URLs once; nothing is stored.
domainstringrequiredgrowthr_llms_txtRead a site's homepage, sitemap (or homepage links), and up to twelve pages, then draft an llms.txt in the llmstxt.org format: H1 name, blockquote summary, grouped page list with one-line descriptions, contact, profiles, links. The 'When to use' section is left as a marked placeholder on purpose; it is a judgment about the business that no crawler can write. Returns the draft plus notes on anything skipped.
domainstringrequiredgrowthr_fix_orderRun the scan and sort every failed check into buckets: blockers (fix before anything else, they hide everything downstream), this afternoon (metadata, llms.txt, trust pages, on-page), needs a sprint (schema, markdown negotiation, speed), and the off-site work no scan can measure (reviews, directories, third-party mentions), which is what decides whether AI engines recommend a business.
domainstringrequiredgrowthr_ai_visibilityRun one buyer-shaped prompt through Gemini with Google Search grounding (a real, cited web search, the same mechanism behind Google AI Overviews) and report where the brand lands on the five-rung ladder: absent, cited (a page of the brand's site is a source), mentioned (named in the text), recommended (on the shortlist), or recommended against. Also returns the other names on the shortlist and the source domains the answer was built from. One prompt per call; limited to a few calls per day per user because grounded requests are billed per query.
promptstringrequiredbrandstringrequireddomainstringDerived by comparing consecutive probes — changes in era, protocol version, build and reachability.
Add this badge to your README — it updates automatically as measurements change.
[](https://mcpmetrics.io/servers/com-growthr-seo-geo-mcp)<a href="https://mcpmetrics.io/servers/com-growthr-seo-geo-mcp"><img src="https://mcpmetrics.io/badge/com.growthr/seo-geo-mcp/era.svg" alt="mcpmetrics"></a>You are seeing the last 7 days. Sign up for the full history. Which check failed and why is in the dashboard.
Sign up free to seeThe catalog entries whose name and description are closest to this one, found with the same index the search box uses.
Model the realistic monthly cost of an LLM app **before you build it**. Not a token calculator: retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth are modeled in, across GPT-5.x, Claude, Gemini, DeepSeek, and more. **Works without a key.** Connect and ask — demo mode covers the six free-tier models. A Pro API key ([beforeyouship.dev](https://beforeyouship.dev)) unlocks the full 18-model catalog. ## Tools | Tool | What it does | |---|---| - **`estimate_cost`** Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case $/mo per model, growth scenarios, and an opinionated recommendation. | - **`get_model_prices`** Current per-1M-token pricing (input, output, cached, batch) with context windows and staleness metadata. | - **`list_archetypes`** Seven preset architecture patterns (chatbot, RAG pipeline, multi-step agent, …) used as starting points for estimates. | ## Try it Paste into Claude Code or Cursor after connecting
Free real-time Google Flights search — one-way and round-trip — with no API key and no signup. ### What it returns - Live fares with airline, stops, duration and a bookable link - **Google's own price insights** (`price_insights_low` / `price_insights_high`) plus a low / typical / high verdict, so an agent can tell the user whether a fare is actually a good deal — most flight APIs don't expose this at all - Round-trip priced as **paired legs**, not two one-ways stitched together ### Flexible dates in a single call Pass a departure date range and/or several destinations, and the server fans out internally and merges the results. *"Cheapest flight to Sri Lanka anywhere in October"* is **one** tool call, not thirty. Every response carries `search_coverage` stating exactly which dates were searched, so a sampled scan is never mistaken for an exhaustive one. ### Tools | Tool | What it does | | --- | --- | | `search_oneway_flights` | One-way search — a single date, or a date range | |
Connect Exact Online accounting to Claude, ChatGPT and Copilot. 114 tools, OAuth 2.1, EU-hosted.
| Run | Era | Modern | ms | Legacy | ms | Versions |
|---|---|---|---|---|---|---|
| 2026-09-13 14:49:35 | Legacy | 200 | 343 | 200 | 364 | 2025-06-18 |
| 2026-09-13 12:47:19 | Legacy | 200 | 424 | 200 | 424 | 2025-06-18 |
| 2026-09-13 10:45:14 | Legacy | 200 | 358 | 200 | 357 | 2025-06-18 |
| 2026-09-13 08:43:04 | Legacy | 200 | 362 | 200 | 358 | 2025-06-18 |
| 2026-09-13 06:40:42 | Legacy | 200 | 497 | 200 | 492 | 2025-06-18 |
| 2026-09-13 04:35:29 | Legacy | 200 | 612 | 200 | 606 | 2025-06-18 |
| 2026-09-13 01:33:33 | Legacy | 200 | 494 | 200 | 466 | 2025-06-18 |
| 2026-09-12 23:31:36 | Legacy | 200 | 510 | 200 | 520 | 2025-06-18 |
| 2026-09-12 21:29:15 | Legacy | 200 | 487 | 200 | 468 | 2025-06-18 |
| 2026-09-12 19:27:29 | Legacy | 200 | 343 | 200 | 346 | 2025-06-18 |
Each block is one measurement round. Green: working response. Amber: responded but the server was returning errors (5xx). Red: no response at all.
Each cell is one probe run. Faded cells are incomplete probes — one leg did not answer, so the era is inconclusive.
The two probe legs separately: modern server/discover and legacy initialize.
AI-visibility monitoring for your brand across ChatGPT, Claude, Perplexity & Gemini.
Carrier MCP — natural language control of your MVNO/eSIM fleet. 52 tools (43 OCS API wrappers + 8 AI intelligence + 1 OCS event history), 5 prompts, OAuth 2.1 + PKCE. Streamable HTTP on Cloudflare Workers.
Live tech-stack scan of any public site — vendors, account IDs, scripts, JSON-LD. 2 tools.
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