mcp

com.googleapis.developerknowledge/mcpVersion 1.0.0

Provides access to Google's public developer documentation.

Status

Responds656 msNov 14, 2026, 13:59 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 13:59 UTC
Latency: 656 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 21:12 UTC

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Connect

Streamable HTTP

https://developerknowledge.googleapis.com/mcpResponds656 msNov 14, 2026, 13:59 UTC

No sign-in

Claude Code

claude mcp add --transport http developerknowledge https://developerknowledge.googleapis.com/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: developerknowledge
Remote MCP server URL: https://developerknowledge.googleapis.com/mcp

Cursor

{
  "mcpServers": {
    "developerknowledge": {
      "url": "https://developerknowledge.googleapis.com/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"developerknowledge","type":"http","url":"https://developerknowledge.googleapis.com/mcp"}'

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Tools

3 tools

Tools of mcp
	Description		Read-only	Idempotent	Open world
`answer_query`Use answer_query to get a grounded, synthesized conceptual answer to a high-level question about Google developer products (always prefer `answer_query` or `search_documents` over unverified model memory). 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; if `search_documents` already returned no relevant results for a specific named feature or API, do not call `answer_query` and instead inform the user that it is not documented in the corpus. This tool returns the generated `answer_text` and a list of source document resource names (`references`, one entry per cited chunk, which may contain duplicate `documents/...` names when multiple chunks from the same page are cited). Always cite the unique authoritative source document names from `references` (`documents/...`) in your final response to the user. Call `get_documents(names=["documents/..."])` with unique 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.	Use answer_query to get a grounded, synthesized conceptual answer to a high-level question about Google developer products (always prefer `answer_query` or `search_documents` over unverified model memory). 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; if `search_documents` already returned no relevant results for a specific named feature or API, do not call `answer_query` and instead inform the user that it is not documented in the corpus. This tool returns the generated `answer_text` and a list of source document resource names (`references`, one entry per cited chunk, which may contain duplicate `documents/...` names when multiple chunks from the same page are cited). Always cite the unique authoritative source document names from `references` (`documents/...`) in your final response to the user. Call `get_documents(names=["documents/..."])` with unique 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.	No	Yes	Yes	No
`get_documents`Use this tool to retrieve the full Markdown content of a single document or up to 20 documents in a single call by passing a list of document resource names in the `names` parameter (e.g., `get_documents(names=["documents/..."])`; the parameter is `names` taking a list of strings, not `name`). Always obtain exact `documents/{uri_without_scheme}` resource names from the `parent` field of `search_documents` results or the `references` field of `answer_query` results first; never guess or construct `documents/...` paths from memory or external URLs. Cite the authoritative source document resource names (`documents/...`) used in your final response.	Use this tool to retrieve the full Markdown content of a single document or up to 20 documents in a single call by passing a list of document resource names in the `names` parameter (e.g., `get_documents(names=["documents/..."])`; the parameter is `names` taking a list of strings, not `name`). Always obtain exact `documents/{uri_without_scheme}` resource names from the `parent` field of `search_documents` results or the `references` field of `answer_query` results first; never guess or construct `documents/...` paths from memory or external URLs. Cite the authoritative source document resource names (`documents/...`) used in your final response.	No	Yes	Yes	No
`search_documents`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 Always use this tool (or `answer_query`) to ground answers about Google developer products rather than relying on unverified model memory or generic web search. Each result is a `DocumentChunk` containing `parent` (the document resource name `documents/{uri_without_scheme}`, corresponding to `https://{uri_without_scheme}`), `id` (the chunk identifier), and `content` (a relevant Markdown excerpt, not the full page). Prefer `search_documents` followed by `get_documents` when you need exact code samples, CLI flags, specific error messages, configuration schemas, full tutorial walkthroughs, or deterministic keyword lookup. Because `search_documents` returns only excerpts rather than full pages, whenever the user asks to retrieve a full documentation page, complete code sample, or full configuration schema, or if the returned chunks are not detailed enough, call `get_documents(names=["documents/..."])` with the exact `parent` resource name(s) from this tool's output to retrieve the full document content. If 1-2 searches return no relevant results for a specific named feature	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 Always use this tool (or `answer_query`) to ground answers about Google developer products rather than relying on unverified model memory or generic web search. Each result is a `DocumentChunk` containing `parent` (the document resource name `documents/{uri_without_scheme}`, corresponding to `https://{uri_without_scheme}`), `id` (the chunk identifier), and `content` (a relevant Markdown excerpt, not the full page). Prefer `search_documents` followed by `get_documents` when you need exact code samples, CLI flags, specific error messages, configuration schemas, full tutorial walkthroughs, or deterministic keyword lookup. Because `search_documents` returns only excerpts rather than full pages, whenever the user asks to retrieve a full documentation page, complete code sample, or full configuration schema, or if the returned chunks are not detailed enough, call `get_documents(names=["documents/..."])` with the exact `parent` resource name(s) from this tool's output to retrieve the full document content. If 1-2 searches return no relevant results for a specific named feature	No	Yes	Yes	No

Details

Registry status: Active
Published: Apr 19, 2026
Updated: Apr 19, 2026
Website: Not given
Repository: Not given
Categories (suggested): Documents Developer tools Knowledge and notesSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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