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Enables AI assistants to query, search, and analyze logs across Google Cloud Platform projects. It supports advanced filtering by severity or resource type and provides detailed log entry retrieval and project listing capabilities.

An MCP server that enables querying and interacting with Google Cloud services including Logging, Spanner, Monitoring, and Cloud Trace through natural language.

Enables interaction with Google Kubernetes Engine (GKE) to list clusters, manage node pools, and retrieve server configurations. It includes automated scripts for deploying and testing sample applications across multiple GKE Autopilot clusters.

Google Custom Search Server

An mcp server for searching against google custom search api

An MCP (Multi-Agent Conversation Protocol) Server that enables AI agents to interact with Google Docs via natural language, automatically generated using AG2's MCP builder.

Enables deep integration with Google Workspace for AI assistants, allowing for document creation, spreadsheet manipulation, and file management. It supports advanced features like template processing, comment thread management, and cell formatting.

Enables Claude to interact with Google Docs to list, read, create, search, and update documents in a user's Google Drive. It provides a suite of tools and prompts for document management and content analysis using OAuth 2.0 authentication.

A Model Context Protocol server that provides an interface for AI models to interact with Google Docs, enabling reading, creating, updating, and searching Google Documents.

Enables Claude to read, create, and update Google Docs through OAuth authentication. Deployed as a remote Next.js server on Vercel with support for multiple users and secure API key management.

An MCP server that enables integration with Google Drive through a service account to list files and retrieve detailed file metadata. It allows users to browse and inspect Drive contents using natural language via the Model Context Protocol.

Enables searching, retrieving, and managing files in Google Drive using a service account. Supports file search with query syntax, metadata retrieval, folder operations, file moving, and folder creation.

Enables comprehensive Google Drive integration through MCP, supporting file management, content operations, permission handling, commenting, version control, and shared drive management through natural language interactions.

Enables AI agents to efficiently access and process Google Drive documents by converting them to markdown and offering selective content extraction. Features intelligent caching, advanced search capabilities, and respect for Drive permissions to optimize context window usage.

A read-only Model Context Protocol server that enables LLMs to search, list, and read files from Google Drive and shared drives. It automatically converts Google Workspace documents like Docs, Sheets, and Slides into Markdown, CSV, and plain text formats for easy processing.

Google Drive + Workspace MCP — 98 tools for Docs, Sheets, Slides, Shared Drives, Labels, Approvals. Supports OAuth2 and Service Account + Domain-Wide Delegation.

Google Drive MCP Server by CData

This MCP server integrates with Google Drive to allow listing, reading, and searching over files.

This MCP server allows an AI assistants to search for flight information online using Google Flights. It can find flights for specific dates or search through a range of dates to find all options or just the cheapest ones available.

A remote MCP server that searches Google Flights for flight information and airport codes. It enables users to find flights, locate airports, and generate travel dates through natural language interactions.

A local-first MCP server that enables AI agents to read user-authorized Google Health API v4 data from Fitbit, Pixel Watch, and partners via OAuth, with tokens never leaving the machine.