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com.timzinin.api/seo-tools
serveur MCP (Model Context Protocol) · zinin-m2m-hub-seo-tools 1.0.0
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
Est-ce que com.timzinin.api/seo-tools est sûr ?
Au dernier audit MCP Hub, le serveur MCP « com.timzinin.api/seo-tools » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.
Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.
Les 7 outils
- ai-answer-change-alert≈ 582 tokens
Ask an LLM the queries that matter to you, compare each answer against its stored baseline and get told what changed — the answer itself and which domains it now cites or stopped citing. One row per query x model. — $0.10/call, x402 (USDC on base).
Paramètres, retour & exemple (5)
Paramètreslang· string · optionnel
Answer language (e.g. en, ru, tr).models· array · optionnel
OpenRouter model IDs to check. Grounded options: `perplexity/sonar`, `openai/gpt-4o-mini:online`, `google/gemini-2.0-flash-001:online`. Every model you add multiplies the number of billed rows: rows = number of queries × number of models. With the limits on both fields, the maximum possible is 20 queries × 3 models = 60 rows.queries· array · requis
The prompts a real user would ask (e.g. `best crm for small business`). Each query is run against every model in `models` below and compared against the previous run's stored answer for the same query × model × language — you are charged per query × model pair, not per query, whether or not the answer changed.maxConcurrency· integer · optionnel
Parallel LLM calls (kept low to respect rate limits and to bound how many LLM calls can be wasted — uncharged — if a run's spend limit is hit mid-run).openrouterApiKey· string · optionnel
Your OpenRouter API key (https://openrouter.ai/keys). Optional: without it the built-in key is used and the LLM cost is covered by the per-row price. Pass your own key to have tokens billed to your account instead, at cost.
Exemple d'appel{"name": "ai-answer-change-alert", "arguments": {"queries": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - ai-crawler-access-checker≈ 263 tokens
Check which AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended & more) can access your website. Bulk audit of robots.txt rules, llms.txt presence and sitemap for AI search visibility (GEO/AEO). — $0.01/call, x402 (USDC on base).
Paramètres, retour & exemple (2)
Paramètreswebsites· array · requis
List of website URLs or domains to audit (e.g. `example.com` or `https://example.com`).maxConcurrency· integer · optionnel
How many websites to check in parallel.
Exemple d'appel{"name": "ai-crawler-access-checker", "arguments": {"websites": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - ai-overview-tracker≈ 575 tokens
For each query that matters, see which sources and domains AI assistants cite in their answer — grounded via Perplexity Sonar, GPT or Gemini through your own OpenRouter key. GEO citation tracking: the backlink profile of the AI-answer era. — $0.10/call, x402 (USDC on base).
Paramètres, retour & exemple (5)
Paramètreslang· string · optionnel
Answer language (e.g. en, ru, tr).models· array · optionnel
OpenRouter model IDs to test. Grounded options: `perplexity/sonar`, `openai/gpt-4o-mini:online`, `google/gemini-2.0-flash-001:online`. Every model you add here multiplies the number of billed rows: rows = number of queries × number of models (see `queries`).queries· array · requis
The prompts a real user would ask (e.g. `best project management software`, `how to choose a CRM`). Each query is run against EVERY model in `models` below, and you are charged per query × model pair, not per query — e.g. 10 queries × 2 models = 20 billed rows. With the limits on both fields, the maximum possible is 20 queries × 5 models = 100 rows.maxConcurrency· integer · optionnel
Parallel LLM calls (kept low to respect rate limits).openrouterApiKey· string · optionnel
Your OpenRouter API key (https://openrouter.ai/keys). LLM token cost is billed to YOUR account; this Actor only orchestrates and scores. Optional to start the Actor: without it the run finishes cleanly and explains setup, and nothing is charged beyond the Actor start.
Exemple d'appel{"name": "ai-overview-tracker", "arguments": {"queries": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - llm-brand-visibility≈ 619 tokens
For each query that matters, check whether AI assistants recommend YOUR brand — and which competitors they cite instead. Grounded answers from Perplexity Sonar, GPT and Gemini via your own OpenRouter key. This is GEO: the SEO of the AI era. — $0.10/call, x402 (USDC on base).
Paramètres, retour & exemple (6)
Paramètreslang· string · optionnel
Answer language (e.g. en, ru, tr).brand· string · requis
The brand, product or company you want to track in AI answers.models· array · optionnel
OpenRouter model IDs to test. Grounded options: `perplexity/sonar`, `openai/gpt-4o-mini:online`, `google/gemini-2.0-flash-001:online`. Every model you add here multiplies the number of billed rows: rows = number of queries × number of models (see `queries`).queries· array · requis
The prompts a real user would ask (e.g. `best note-taking app`, `Notion alternatives`). Each query is run against EVERY model in `models` below, and you are charged per query × model pair, not per query — e.g. 10 queries × 2 models = 20 billed rows. With the limits on both fields, the maximum possible is 20 queries × 5 models = 100 rows.maxConcurrency· integer · optionnel
Parallel LLM calls (kept low to respect rate limits).openrouterApiKey· string · optionnel
Your OpenRouter API key (https://openrouter.ai/keys). LLM token cost is billed to YOUR account; this Actor only orchestrates and scores. Optional to start the Actor: without it the run finishes cleanly and explains setup, and nothing is charged beyond the Actor start.
Exemple d'appel{"name": "llm-brand-visibility", "arguments": {"brand": "texte", "queries": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - llms-txt-auditor≈ 267 tokens
Give it a domain. It checks whether the site publishes a valid llms.txt / llms-full.txt (the emerging AI-crawler-friendly-docs convention) and whether robots.txt blocks GPTBot, ClaudeBot, Google-Extended, PerplexityBot and 5 other AI crawlers. llms.txt-first, no browser, no LLM, no API key. — $0.01/call, x402 (USDC on base).
Paramètres, retour & exemple (2)
Paramètresitems· array · requis
List of domains to audit for llms.txt presence and AI-crawler robots.txt policy.maxConcurrency· integer · optionnel
How many domains to audit in parallel.
Exemple d'appel{"name": "llms-txt-auditor", "arguments": {"items": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - pricing_info≈ 106 tokens
Free — list every paid tool in the 'seo-tools' bundle with its price, payTo address and network. Call this first if you don't have a wallet ready yet.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "pricing_info", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - social-preview-checker≈ 256 tokens
See exactly how your links look when shared on Telegram, WhatsApp, X, LinkedIn, Slack, Facebook & Discord. Bulk-audit Open Graph and Twitter Card tags, validate preview images, and find what breaks your link previews. — $0.01/call, x402 (USDC on base).
Paramètres, retour & exemple (2)
Paramètresurls· array · requis
List of page URLs to check (e.g. `example.com/article` or a full https URL).maxConcurrency· integer · optionnel
How many URLs to check in parallel.
Exemple d'appel{"name": "social-preview-checker", "arguments": {"urls": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}]}
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