"Google Fit" matching MCP servers:

Enables AI assistants to query Google AI (Gemini models) via Vertex AI or Google AI Studio with automatic tool selection, multi-turn reasoning, and multimodal input support.

MCP server that exposes Google Jules AI agent as tools, allowing local AI agents to list authorized repositories and delegate coding tasks to Jules, receiving session URLs for tracking.

Evidence-backed private AI deployment intelligence for GPU and LLM inference. Search benchmark evidence, check deployment fit, predict performance, get hardware recommendations, and generate launch configurations.

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.

A Model Context Protocol server that provides Google Jobs search capabilities through SerpAPI integration, featuring multi-language support, flexible search parameters, and rich job details.

MCP Server for Google Cloud Healthcare API enables Agentic AI for a variety of FHIR-based digital health solutions, from smarter clinical workflows for Health Systems to Pre-Auth frameworks for Payers!

An automated research agent that leverages Google Gemini models and Google Search to perform deep, multi-step web research, generating sophisticated queries and producing citation-rich answers.

Provides MCP (Model Control Protocol) tools for accessing and interacting with Google Chat spaces and messages through OAuth2 authentication.

A comprehensive Google Ads API integration for AI assistants through the Model Context Protocol. This server enables Claude AI and other MCP-compatible clients to manage Google Ads campaigns, analyze performance, and execute GAQL queries with natural language commands.

A central tool aggregator that routes and orchestrates multiple fabric apps through a single MCP surface. It enables users to access a combined suite of specialized tools from various registered apps via a unified server connection.

x402 agent MCP server (beacon-mcp) exposing tools via Docker + glama.json for introspection.

A secure MCP (Model Context Protocol) server hosted on Google Cloud Run that enables team collaboration by providing authenticated access via Google Cloud IAM, allowing teams to share custom MCP servers over the internet before official MCP authentication is implemented.

OpenRouter for browser agents. One MCP that routes browser tasks across 250+ runners (Browserbase, Steel, Skyvern, Anchor, etc.). Not Google Nano Banana image gen.

Enables developers to build and deploy secure, typed Model Context Protocol servers with tools, resources, prompts, bearer-token authentication, per-tool scopes, rate limiting, and health probes over Streamable HTTP.

A unified MCP gateway that reduces context token usage by exposing all services through just two tools (search and execute), supporting built-in services like Asana and Sentry as well as proxied external MCP servers.

37 MCP servers for agentic commerce and Brazilian services. Covers Stripe ACP, x402 (Coinbase), AP2 (Google), Google UCP, plus 14 traditional Brazilian payment rails, fiscal, banking, communication, logistics, ERP, identity, and crypto APIs. ~480 tools. Supports stdio and Streamable HTTP.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Google Data Catalog (beta): https://www.cdata.com/download/download.aspx?sku=HGZK-V&type=beta

Enables AI agents to access a unified catalog of tools from various APIs (OpenAPI, GraphQL, MCP, Google Discovery) through the MCP protocol.

Orchestrates distributed research drones on Google Cloud Run, enabling scalable and bidirectional research task management.

MCP server that reports AI agent costs (tokens, latency, dollars) with per-tenant isolation via OAuth, and includes an ADK agent for natural-language queries.