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Olcum MCP Server

answering

Olcum is answering right now. Last checked 14 min ago. It exposes 4 tools.

Checks e-commerce ad measurement (pixels, GTM, GA4, consent, UTM) and diagnoses exported ad reports.

Uptime history 7 days of history
7 days agonow
100.0%
Uptime 24h
91 of 91 checks
4
Tools
read from the server
58 ms
Response time
average over 24h
open, no key
Access
streamable-http

What changed 5

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 4 November 2026. No other catalogue keeps this.

4 Nov 2 tool descriptions were rewritten3 times that day analyze_ai_traffic, diagnose_ad_report
4 Nov 2 tools appeared analyze_ai_traffic, check_ai_visibility
and 1 more, back to 4 November 2026

Nothing serious here today

Today is the operative word: we check Olcum every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 14 min ago.

run in your terminal
claude mcp add olcum --transport http https://mcp.q9ive.io/olcum
Settings → Connectors → Add custom connector, then paste this address
https://mcp.q9ive.io/olcum
~/.codex/config.toml
[mcp_servers.olcum]
url = "https://mcp.q9ive.io/olcum"
.cursor/mcp.json
{
  "mcpServers": {
    "olcum": {
      "url": "https://mcp.q9ive.io/olcum"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "olcum": {
      "type": "http",
      "url": "https://mcp.q9ive.io/olcum"
    }
  }
}

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

analyze
analyze_ai_traffic
Kullanıcı bir analitik ya da trafik raporu paylaşıp yapay zekadan (ChatGPT, Perplexity, Gemini…) siteye ne kadar trafik geldiğini ya da bu ziyaretçilerin satın alıp almadığını sorduğunda kullanılır. Analitik aracından (GA4, Yandex Metrica, Matomo, Adobe ya da mağaza paneli) dışa aktarılan trafik kaynağı ya da kanal raporundan, sitenin yapay zeka asistanlarından (ChatGPT, Perplexity, Gemini, Copilot, Claude ve diğerleri) ne kadar trafik aldığını, hangi asistandan geldiğini, bu ziyaretlerin etkileşim ve dönüşüm oranını, gelirini ve sepete ekleme, ödeme ve satın alma hunisindeki en büyük kaybı sitenin geneliyle karşılaştırır. Raporu dışa aktarıldığı haliyle, ham CSV metni olarak report_text alanına verin. Giriş gerektirmez; rapor saklanmaz (format desteğini geliştirmek için yalnızca tanınmayan raporların sütun başlıkları kaydedilebilir). Use when the user shares an analytics or traffic report and asks how much traffic comes from AI (ChatGPT, Perplexity, Gemini…) or whether those visitors buy. From a traffic source or channel report exported from an analytics tool (GA4, Yandex Metrica, Matomo, Adobe or a store panel), shows how much traffic the site gets from AI assistants (ChatGPT, Perplexity, Gemini, Copilot, Claude and others), which assistant it comes from, and the engagement rate, conversion rate, revenue and add-to-cart, checkout and purchase funnel (with the biggest drop-off) of those visits compared with the site overall. Pass the report exactly as exported, as raw CSV text, in report_text. No sign-in; the report is not stored (only column headers of unrecognized reports may be logged to improve format support).
diagnose
diagnose_ad_report
Kullanıcı reklam panelinden aldığı bir kampanya raporunu paylaşıp kampanyalarının performansını, satış getirmeyen harcamayı ya da ölçüm hatalarını sorduğunda kullanılır. Meta Ads, Google Ads, TikTok Ads ya da ChatGPT Ads panelinden dışa aktarılan kampanya raporunu teşhis eder: satış ya da dönüşüm getirmeyen harcamayı, ilk bakılması gereken kampanyayı ve nedenini, günlük kırılım varsa son 7 günün gidişatını gösterir. Raporu dışa aktarıldığı haliyle, ham CSV metni olarak report_text alanına verin; tabloya çevirmeyin ve sütun çıkarmayın. Giriş gerektirmez; rapor saklanmaz, yalnızca bu istek için işlenir (format desteğini geliştirmek için yalnızca tanınmayan raporların sütun başlıkları kaydedilebilir). Use when the user shares a campaign report from an ad panel and asks about campaign performance, spend without sales or measurement errors. Diagnoses a campaign report exported from Meta Ads, Google Ads, TikTok Ads or ChatGPT Ads: spend without sales or conversions, the campaign to look at first and why, and the last 7 days' trend when a daily breakdown is included. Pass the report exactly as exported, as raw CSV text, in report_text; don't convert it to a table or drop columns. No sign-in; the report is not stored (only column headers of unrecognized reports may be logged to improve format support).
site
check_site_measurement
Bir e-ticaret sitesinin reklam ölçümünü kontrol eder: Meta Pixel, Google Ads, TikTok Pixel, ChatGPT Ads ve LinkedIn etiketleri, Google Tag Manager ve GA4, çerez onay aracı ve Google Consent Mode, çift yüklenen etiketler ve yönlendirmelerde UTM, gclid, fbclid, ttclid ve oppref işaretlerinin korunması. Giriş gerektirmez; yalnızca herkese açık ana sayfayı okur ve robots.txt kurallarına uyar. Checks an e-commerce site's ad measurement: Meta Pixel, Google Ads, TikTok Pixel, ChatGPT Ads and LinkedIn tags, GTM and GA4, consent tool and Google Consent Mode, duplicate tags, and whether redirects keep UTM, gclid, fbclid, ttclid and oppref. No sign-in; reads only the public home page and respects robots.txt.
visibility
check_ai_visibility
Bir e-ticaret sitesinin yapay zeka asistanlarında (ChatGPT, Claude, Perplexity, Gemini, Copilot) bulunmaya ve ölçülmeye hazır olup olmadığını kontrol eder: robots.txt'de AI arama ve eğitim tarayıcılarına izin, ürün sayfasında yapılandırılmış ürün verisi (ad, görsel, fiyat, stok, marka, ürün kodu, yorum puanı), llms.txt ve site haritası, ChatGPT'den gelen ziyaretlerin işaretlerinin yönlendirmede korunması. Giriş gerektirmez; yalnızca herkese açık sayfaları ve robots.txt'yi okur. Checks whether an e-commerce site is ready to be found and measured in AI assistants (ChatGPT, Claude, Perplexity, Gemini, Copilot): AI search and training crawlers allowed in robots.txt, structured product data on a product page (name, image, price, stock, brand, product code, rating), llms.txt and sitemap, and whether ChatGPT visit markers survive redirects. No sign-in; reads only public pages and robots.txt.

Endpoints

URLTransportStateLatencyChecked
https://mcp.q9ive.io/olcum streamable-http answering 79 ms 14 min ago

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Olcum — questions

Answers built from our own checks of this server.

What can Olcum do?
It exposes 4 tools, read directly from the server on our last check. Among them: analyze_ai_traffic, check_ai_visibility, check_site_measurement, diagnose_ad_report. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Olcum working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 58 ms. The bar chart above shows every period we have measured.
How do I connect Olcum?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Olcum need an API key?
No. Olcum completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Olcum?
It answers our handshake in 58 ms on average, which is faster than 99% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.