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com.googleapis.developerknowledge/mcp
serveur MCP (Model Context Protocol) · StatelessServer ESF
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.googleapis.developerknowledge/mcp est sûr ?
Au dernier audit MCP Hub, le serveur MCP « com.googleapis.developerknowledge/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 3 outils
- answer_query≈ 449 tokens
Use answer_query to get a grounded, synthesized conceptual answer to a high-level question about Google developer products. For exact code samples, CLI flags, specific error messages, or full document walkthroughs, prefer `search_documents` followed by `get_documents` instead. This tool has limited quota. This tool will synthesize information from the corpus to generate an answer to the query. answer_query grounds answers using the same corpus as search_documents. This tool returns the generated answer_text and a list of document names (references) used to generate the answer. Always cite the authoritative source document names from `references` (`documents/...`) in your final response to the user. Use `get_documents` with the document names from `references` to fetch the entire document content if needed. If you get a 429 out of quota error, use search_documents instead.
Paramètres, retour & exemple (1)
Paramètresquery· string · requis
Required. The query to answer.
Exemple d'appel{"name": "answer_query", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"answerText": "texte", "references": []}} - get_documents≈ 580 tokens
Use this tool to retrieve the full content of a single document or up to 20 documents in a single call. The document names should be obtained from either the `parent` field of results from a call to the `search_documents` tool or the `references` field returned by the `answer_query` tool. Set the `names` parameter to a list of document names (`documents/...`), and cite the authoritative source documents used in your final response.
Paramètres, retour & exemple (1)
Paramètresnames· array · requis
Required. The names of the documents to retrieve, as returned by the `parent` field of `search_documents` results or the `references` field of `answer_query`. A maximum of 20 documents can be retrieved in one call. The documents are returned in the same order as the `names` in the request. Format: `documents/{uri_without_scheme}` Example: `documents/docs.cloud.google.com/storage/docs/creating-buckets`
Exemple d'appel{"name": "get_documents", "arguments": {"names": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"documents": []}} - search_documents≈ 836 tokens
Use this tool to find documentation about Google developer products. The documents contain official APIs, code snippets, release notes, best practices, guides, debugging info, and more. It covers the following products and domains: * ADK: adk.dev * Android: developer.android.com * Apigee: docs.apigee.com * Chrome: developer.chrome.com * Dart: dart.dev * Firebase: firebase.google.com * Flutter: docs.flutter.dev * Fuchsia: fuchsia.dev * Gemini CLI: geminicli.com * Genkit: genkit.dev * Go: go.dev * Google AI: ai.google.dev * Google Antigravity: antigravity.google * Google Cloud: cloud.google.com & docs.cloud.google.com * Google Developers, Ads, Search, Google Maps, Youtube: developers.google.com * Google Home: developers.home.google.com * Google Maps Platform: mapsplatform.google.com * Google Workspace: knowledge.workspace.google.com * TensorFlow: www.tensorflow.org * Web: web.dev This tool returns chunks of text, names, and URIs for matching documents. Prefer `search_documents` followed by `get_documents` when you need exact code samples, CLI flags, specific error messages, full tutorial walkthroughs, or deterministic keyword lookup. If the returned chunks are not detailed enough to answer the user's question, use `get_documents` with the `parent` from this tool's output to retrieve the full document content. When answering the user, always cite the authoritative source document resource names (`documents/...`) or URIs.
Paramètres, retour & exemple (1)
Paramètresquery· string · requis
Required. The raw query string provided by the user, such as "How to create a Cloud Storage bucket?".
Exemple d'appel{"name": "search_documents", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"results": []}}
C'est votre serveur ?
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