io.github.AshutoshRaj97/agentready-mcp

Est-ce que io.github.AshutoshRaj97/agentready-mcp est sûr ?

Au dernier audit MCP Hub, le serveur MCP « io.github.AshutoshRaj97/agentready-mcp » 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 8 outils

• ask_site≈ 268 tokens

  Query any website's documentation and get cited, multi-page answers in natural language. Use ask_site when you need: (1) answers that synthesize information across multiple pages of a site, (2) documentation from JS-rendered sites (React, Next.js, Vue SPAs) where web_fetch returns empty or partial HTML, (3) citations linking back to the exact source pages, (4) faster results than fetching and reading individual pages one by one. For sites not yet indexed, ask_site auto-crawls and answers in ~60s — no separate submit_site call needed.

  Paramètres, retour & exemple (3)

  Paramètres

  • url · string · optionnel
    Optional: a specific page URL to focus on. AgentReady will ensure this page is indexed before answering.
  • query · string · requis
    The question to ask about the site.
  • domain · string · requis
    Domain of the site to query (e.g. "stripe.com"). Accepts full URLs too.

  Exemple d'appel

  {"name": "ask_site", "arguments": {"query": "texte", "domain": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_site_capabilities≈ 123 tokens

  Return the AgentReady capability manifest for a website. If the site is not indexed yet, AgentReady indexes it automatically before returning its freshness, read-only limits, schemas, and available MCP and HTTP endpoints.

  Paramètres, retour & exemple (1)

  Paramètres

  • domain · string · requis
    Domain of the indexed site (e.g. "docs.example.com"). Accepts full URLs too.

  Exemple d'appel

  {"name": "get_site_capabilities", "arguments": {"domain": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_site_facts≈ 222 tokens

  Return structured facts extracted from a website — pricing, limits, features, contact info, and more. Facts marked as "owner-verified" have been explicitly attested by the site owner and are guaranteed accurate ground truth; use these in preference to scraped RAG answers for critical comparisons. Ideal for price comparison across multiple sites, feature matrix lookups, or any task where you need structured data rather than a natural-language synthesis.

  Paramètres, retour & exemple (2)

  Paramètres

  • domain · string · requis
    Domain of the indexed site (e.g. "stripe.com"). Accepts full URLs too.
  • category · string · optionnel · pricing | features | limits | contact | technical | policy
    Optional: filter facts to a single category.

  Exemple d'appel

  {"name": "get_site_facts", "arguments": {"domain": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• list_sites≈ 105 tokens

  List all websites currently indexed in AgentReady. Use this to check if a domain is already available before submitting it — indexed sites return instant cited answers via ask_site. The index covers developer tools, APIs, cloud platforms, frameworks, databases, and more, and grows as new sites are submitted.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "list_sites", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• plan_site_action≈ 178 tokens

  Turn a natural-language request into a grounded, read-only AgentReady plan for a website. If the site is not indexed yet, AgentReady indexes it automatically first. This prototype never executes side effects; it identifies supported steps, sources, risks, and whether a future execution would require confirmation.

  Paramètres, retour & exemple (2)

  Paramètres

  • domain · string · requis
    Domain of the indexed site (e.g. "docs.example.com"). Accepts full URLs too.
  • request · string · requis
    Natural-language request to plan against the site.

  Exemple d'appel

  {"name": "plan_site_action", "arguments": {"domain": "texte", "request": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• rate_answer≈ 183 tokens

  Rate the quality of a previous ask_site answer from 1 (not useful) to 5 (excellent). Pass the request_id returned in structuredContent when available so the rating can be tied to the exact answer.

  Paramètres, retour & exemple (4)

  Paramètres

  • domain · string · requis
    Domain that was queried.
  • rating · integer · requis
    Answer quality from 1 to 5.
  • comment · string · optionnel
    Optional short explanation.
  • request_id · string · optionnel
    request_id returned by ask_site, when available.

  Exemple d'appel

  {"name": "rate_answer", "arguments": {"domain": "texte", "rating": 1}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• refresh_site≈ 138 tokens

  Force a full re-crawl of a site to pick up new or changed content. If the site has never been indexed, AgentReady performs the initial indexing automatically. Use when ask_site returns outdated information or when you know the site has recently been updated. Takes ~60 seconds. After completion, ask_site returns fresh content.

  Paramètres, retour & exemple (1)

  Paramètres

  • domain · string · requis
    Domain of the site to refresh (e.g. "docs.example.com").

  Exemple d'appel

  {"name": "refresh_site", "arguments": {"domain": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• submit_site≈ 151 tokens

  Index any website so it can be queried with ask_site. Use this when the site is not yet in list_sites. Handles JS-rendered pages (React, Next.js, Vue SPAs) that web_fetch cannot read — uses a four-layer pipeline: llms.txt → HTTP+cheerio → __NEXT_DATA__ extraction → Jina Reader headless browser. Takes ~60 seconds. Once indexed, ask_site queries are instant.

  Paramètres, retour & exemple (1)

  Paramètres

  • url · string · requis
    Full URL of the site to index (e.g. "https://docs.example.com").

  Exemple d'appel

  {"name": "submit_site", "arguments": {"url": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

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Source

https://www.agentready.it.com/api/mcp