"Using Claude Desktop and Code MCP to manage Google Cloud Platform/Vertex AI projects" matching MCP servers:

Enables integration with Google Cloud Vertex AI Search for enterprise search capabilities through a stdio-based MCP server.

About MCP server for Google Agent Platform Docs — Google AI + Vertex AI. 3400+ pages searchable by AI agents.

Legacy MCP server for Google Search Console data, now superseded by the unified google-seo-mcp-claude-code suite.

A Model Context Protocol server that uses Google Vertex AI and Gemini 3.5 Flash to perform deep research with high thinking capability and live Google Search grounding, enabling intelligent, multi-source research via a single tool.

Enables Claude Desktop to interact with PostgreSQL databases through natural language for schema exploration, data analysis, and query execution. Users can search schemas, describe tables, and perform read or write operations without needing to write manual SQL.

Searches Claude Code documentation via BM25 indexing, returning ranked snippets with category filtering. Enables fast, local search over official docs without full-document scans.

Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.

Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.

Search and reference your Claude Code conversation history directly from Claude, with full-text search, conversation viewing, and project browsing.

Provides Vertex AI Search for Commerce product search as a tool, enabling AI agents to search product catalogs using natural language queries.

Enables Claude Code to search, browse, and read its own past conversation history across all projects using BM25 keyword search.

An MCP server that enables users to retrieve, filter, and search through Claude Code conversation history stored in local projects. It provides tools for listing projects and sessions, paginating through message history, and searching across conversations with keyword filtering.

Enhances LLM responses by grounding them in official Google Maps Platform documentation and code samples via MCP tools for developing applications.

Enables interaction with FHIR resources on Google Cloud Healthcare API through a SmartOnFHIR gateway secured by Firebase Auth, providing access to patient data, medical records, and medical research tools like PubMed.

This read-only MCP Server allows you to connect to Google Cloud Storage data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for Google Cloud Storage (https://www.cdata.com/drivers/googlecloudstorage/download/mcp).

Enables searching all Claude Code conversations across projects using natural language queries and instantly provides resume commands to continue discussions.

Enables AI assistants to retrieve, search, and compare procurement documents using hybrid retrieval and MCP integration.

Provides OpenAI-compatible API, MCP, and CLI for Google AI Mode, with automatic fallback to a real Chrome browser to bypass TLS fingerprint detection.

Enables any MCP-compatible LLM to perform AI-powered web research using Google's AI Mode, returning synthesized and cited answers instead of raw search results.

Integrates RAGFlow's knowledge base API with Claude Desktop for document retrieval, semantic search across multiple datasets, and intelligent query refinement using DSPy.