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509,037 tools. Updated 2026-09-03 00:52

"Google Vertex AI Platform" matching MCP tools:

  • Search Google AI platform documentation for topics like function calling, Agent Development Kit, or Gemini Pro. Returns matching pages with titles, paths, and excerpts. Supports GEAP and Vertex AI sources. Use get_doc to read full content.
    MIT
  • Delete a specific file uploaded to the Gemini API by providing its unique file name (e.g., 'files/abc123xyz'). Returns a success confirmation upon deletion. Works exclusively with Google AI Studio API keys.
    MIT
  • List all AI models on Google's platform, organized by family for quick reference. Includes Google models (Gemini, Imagen), partners (Claude, Grok), and open models (DeepSeek, Qwen).
    MIT

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  • Google AI Overview answers and cited sources via the Apify Google AI Overview API, hosted MCP.

  • Google Trends search interest over time with growth metrics. Free key at trendsapi.ai

  • Saves precise code snippets or concise answers from official documentation to a specified file, using a Vertex AI model with Google Search for technical queries. Requires topic, query, and output path.
    MIT
  • Fetch full documentation page content from Google Agent Platform or Vertex AI docs. Provide the page path and optional source to get complete markdown content, retrieved live if not cached.
    MIT
  • Proxy Gemini (Vertex AI) completions with OpenTelemetry tracing. Returns the answer along with trace and span IDs for observability.
    MIT
  • Answer natural language queries by combining Vertex AI's Gemini model with real-time Google Search results, delivering accurate and up-to-date information on demand.
    MIT
  • Retrieve metadata for a specific file uploaded to the Gemini API using its unique file name. Designed for use with Google AI Studio API keys within the MCP Gemini Server framework.
    MIT
  • Starts an automated prompt optimization job on Vertex AI using a dataset and configurable metrics. Provide a config file in GCS and choose between VAPO or Gemini Nano methods.
    Apache 2.0
  • Edit images with AI: remove or insert objects, expand canvas, swap backgrounds, transfer styles, or create product images.
    AGPL 3.0
  • Retrieve mesh information: vertex, edge, face counts, UV maps, vertex groups, and custom normal status.
    MIT
  • Assign vertex weights to a named vertex group by specifying vertex indices. Choose replace, add, or subtract mode to adjust weights for precise rigging.
    Apache 2.0