"Information about Google ADK" matching MCP servers:

Enables interaction with Google Spreadsheets through the Model Context Protocol. Supports reading, writing, appending rows, creating sheets, and retrieving spreadsheet information with Google Cloud service account authentication.

Enables LLMs to interact with Google Ads accounts via tools like list_accounts and search_stream, using a standardized Model Context Protocol integration.

A FastMCP-powered Model Context Protocol server for Google Ads API integration with automatic OAuth 2.0 authentication Connect Google Ads API directly to MCP Clients with seamless OAuth 2.0 authentication, automatic token refresh, GAQL querying, and keyword research capabilities.

A powerful Model Context Protocol (MCP) server that provides comprehensive Google Analytics 4 (GA4), Google Search Console (GSC), and Google Merchant Center (GMC) integration for Claude Desktop and other MCP clients.

Provides comprehensive access to Google Ads API v20, enabling AI assistants to manage campaigns, accounts, assets, and reporting through natural language. It features automatic retry logic, GAQL query support, and advanced functionality for Performance Max and Demand Gen campaigns.

Enables LLMs to interact with the Google Ads API through the Model Context Protocol, allowing natural language queries for campaign management and metrics.

Enables LLMs to query Google Ads accounts, search for information, and list accessible customers.

A GCP-hosted MCP server for Google Analytics GA4 where each user logs in with their own Google account and queries are scoped to that user's permissions.

Enables LLMs to interact with the Google Ads API to retrieve account information, list accessible customers, and query campaign performance. It allows users to manage and analyze Google Ads data through natural language interfaces.

A tool for manipulating Google Spreadsheet and Google Drive using MCP (Metoro Control Protocol).

MCP server that lets any LLM manage Google Ads campaigns from the terminal. Supports read and write operations.

Enables AI assistants to search and access Google Cloud Platform documentation in real-time, supporting 20+ GCP services with natural language queries and smart content extraction.

Deploys and manages projects on Swigs Cloud from any MCP client, turning folders or git repositories into live HTTPS sites in about two minutes.

An MCP server that provides offline searchable Microsoft 365 roadmap data and live Azure status, enabling AI agents to answer questions about upcoming features, roadmap changes, and Azure incidents.

Cloud cost management MCP server for Azure. Ask your AI about your cloud bill.

A Model Context Protocol (MCP) server that interfaces with the Apache YuniKorn Scheduler, allowing AI agents to observe and reason about Kubernetes batch workload resource management, queue hierarchies, and application states.

Exposes Microsoft 365 privacy/compliance audit checks as MCP tools, enabling natural language queries about tenant configuration, orphaned documents, Conditional Access policies, DLP policies, and Copilot usage.

Enables natural-language queries about Azure resource compliance, including VM compliance, patch status, orphaned RBAC, and infrastructure health, through read-only MCP tools.

A Model Context Protocol server that allows AI models to access, analyze, and manage Meta advertising campaigns, enabling LLMs to retrieve performance data, visualize ad creatives, and provide strategic insights for Facebook and Instagram platforms.

Enables AI assistants to search and retrieve information about Terraform providers and modules from the public Terraform registry, including detailed documentation, version information, and resource specifications.

Generates, reviews, and imports cloud architecture diagrams for AWS, Azure, and Google Cloud from editable specs, Terraform, or live Google Cloud inventory, rendering them as PNG, SVG, PDF, or JPG.

Enables you to interact with your Fivetran environment through natural language, supporting read-only queries about connections and syncs, and write operations like updating sync frequency when enabled.

Enables MCP-compatible AI agents to deploy applications to Google Cloud Run by providing tools for deploying code, listing services, and managing Google Cloud projects.

An MCP server for BigQuery that lets Claude answer questions about your search and analytics data, providing real analysis with verdicts and recommendations, not just raw query results.

A Python-based MCP server that acts as a bridge between MCP-compatible clients and the Google Sheets API, enabling AI-driven automation and data manipulation workflows.

An MCP server that enables AI assistants to interact with ServiceNow instances, allowing script execution, data querying, ATF tests, and log tailing through natural language commands.

An MCP server that enables interaction with Google Firestore in Datastore mode for entity management and querying. It provides tools for CRUD operations, aggregation queries, and transaction execution within Google Cloud projects.

Exposes a curated set of Google Workspace CLI operations as tools for managing Drive, Sheets, Calendar, Docs, and Gmail. It provides a focused set of high-value operations to avoid context window bloat while enabling file management, spreadsheet updates, and email interactions.

A Model Context Protocol server that enables AI agents to interact with Google Workspace services including Drive, Docs, and Sheets through natural language commands.

Your AI Assistant's Gateway to Google Sheets! 25 powerful tools for seamless Google Sheets automation via MCP