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Vertex AI

Provides a Model Context Protocol (MCP) server offering a suite of tools for interacting with Google Cloud's Vertex AI Gemini models, focusing on coding assistance and query answering.

About

Vertex AI provides a comprehensive Model Context Protocol (MCP) server designed to streamline interactions with Google Cloud's Vertex AI Gemini models. Offering a wide range of tools, this server facilitates coding assistance and general query answering. It allows for configurable model settings, web search grounding, direct knowledge retrieval, and file system operations, making it ideal for developers and researchers seeking to leverage the power of Vertex AI in their projects. Features like streaming API support, basic retry logic, and minimal safety filters further enhance the user experience.

Key Features

  • Supports web search grounding and direct knowledge answering.
  • 44 GitHub stars
  • Access to Vertex AI Gemini models via MCP tools.
  • Offers filesystem operations for reading, writing, and editing files.
  • Configurable model ID, temperature, streaming, and retry settings.
  • Includes tools for code analysis, documentation generation, and project guideline creation.

Use Cases

  • Analyzing code snippets for potential bugs and vulnerabilities.
  • Answering natural language queries with web search integration.
  • Generating project guidelines based on specified technologies.
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    Vertex AI: Gemini Models for Coding & Query Answering