Building with the Developer Knowledge API and Antigravity CLI

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in this conversation > 3. Yes, and always allow 'google-dev-knowledge/answer_query' (Persist to settings.json) 4. No 5. No, and always deny 'google-dev-knowledge/answer_query' in this conversation 6. No, and always deny 'google-dev-knowledge/answer_query' (Persist to settings.json) According to the official Google Developer Knowledge API, here are the gcloud commands and options for creating a Google Cloud Storage bucket: ### 1. Basic Bucket Creation To create a standard bucket with a globally unique name and uniform bucket-level access (recommended for security): gcloud storage buckets create gs://BUCKET_NAME/ --uniform-bucket-level-access • BUCKET_NAME : Must be globally unique and contain only lowercase letters, numbers, dashes ( - ), underscores ( _ ), and dots ( . ). ────── ### 2. Advanced Creation Options You can configure location, default storage class, and specialized features by appending flags: • Specify Location: Set where the bucket's data is stored (e.g., US , us-east1 ): gcloud storage buckets create gs://BUCKET_NAME --location=BUCKET_LOCATION • Enable Hierarchical Namespace: Enables structured folders (cannot be enabled after creation). This also requires enabling uniform bucket-level access: gcloud storage buckets create gs://BUCKET_NAME --location=BUCKET_LOCATION --uniform-bucket-level-access -- enable-hierarchical-namespace • Specify Storage Class: Set the default class (e.g., STANDARD , NEARLINE , COLDLINE , ARCHIVE ): gcloud storage buckets create gs://BUCKET_NAME --default-storage-class=STORAGE_CLASS • Zonal Storage: For zonal-specific placements: gcloud storage buckets create gs://BUCKET_NAME --location=BUCKET_LOCATION --placement=BUCKET_ZONE --default- storage-class=RAPID --enable-hierarchical-namespace --uniform-bucket-level-access • Explicit Project Scoping: Link the bucket to a specific project: gcloud storage buckets create gs://BUCKET_NAME --project=PROJECT_ID ────── ### Common Flags Reference Flag | Description -----------------------------------|----------------------------------------------------------------------------- --location | The geographic region or multi-region. --uniform-bucket-level-access | Uniformly manages permissions at the bucket level (security best practice). --enable-hierarchical-namespace | Enables true directory/folder layouts (immutable after creation). --default-storage-class | Sets the default storage tier for uploaded files. --project | Targets a specific Google Cloud project.

the Knowledge API MCP server can even get a bit Meta!

> what is the Google Developer Knowledge API?
●くろまる google-dev-knowledge/answer_query(Query Developer Knowledge API) (ctrl+o to expand)
 According to the Google Developer Knowledge API (retrieved directly via the API itself), it is a programmatic
 interface providing machine-readable access to Google's official public developer documentation.
 It acts as the canonical source to integrate Google's technical documentation into third-party tools, IDEs, and
 AI
 workflows.
 ### Key Capabilities
 • Search: Find relevant page URIs and content snippets based on queries.
 • Retrieve: Fetch full developer documentation pages structured in Markdown format.
 • Grounded Generation: Synthesize answers to technical questions that are directly grounded in Google's official
 docs (preventing hallucinations).
 ──────
 ### Scope of the Corpus
 The API covers a broad range of Google developer domains:
 • Google Cloud: GCP services ( docs.cloud.google.com ), Firebase, and Apigee.
 • Platforms & Languages: Android, Chrome, Go, TensorFlow, and Web.dev.
 • Developer APIs: Google AI ( ai.google.dev ), Gemini, Ads, Search, Maps, and YouTube.
 • Data Freshness: The index is updated every 24 to 48 hours to ensure documentation is always current.
 ──────
 ### Integration and Access
 • API Endpoint: developerknowledge.googleapis.com 
 • Authentication: Uses Google Cloud API Keys (restricted to the Developer Knowledge API) or OAuth credentials.
 • Model Context Protocol (MCP): It supports MCP, enabling AI agents and LLMs to interact with Google's
 documentation as a tool to assist developers with troubleshooting, code generation, and finding best practices.

Summary

The Developer Knowledge API server was configured in a local environment. A sample setup script — init.sh was provided to provide the local development environment with the necessary system variables and APIS to interact with the remote server securely via MCP. This connection was tested and validated with the local copy of Antigravity CLI. Several Google Cloud specific questions were presented and Antigravity CLI used the MCP server to enhance the information in the current context.