Google BigQuery
Official 1-Click ReadyDiscover official and open-source Model Context Protocol (MCP) servers from Google. This project pro...
Quick Start
Choose Connection Type for
Authentication Required
Please sign in to use FastMCP hosted connections
Configure Environment Variables for
Please provide values for the following environment variables:
started!
The MCP server should open in . If it doesn't open automatically, please check that you have the application installed.
Copy and run this command in your terminal:
Make sure Gemini CLI is installed:
Visit Gemini CLI documentation for installation instructions.
Make sure Claude Code is installed:
Visit Claude Code documentation for installation instructions.
Installation Steps:
Configuration
Installation Failed
More for Analytics and Data
View All →Excel
Unlock powerful Excel automation with this MCP server that reads and writes Excel files effortlessly. It supports text, formulas, sheet creation, and works with XLSX, XLSM, XLTX, and XLTM formats. Windows users benefit from live editing and screen capture features. The server offers tools to describe sheets, read cell ranges with pagination, write values or formulas, create tables, and copy sheets. Configurable paging limits help manage large data efficiently. Designed for seamless Excel data manipulation, it enhances workflow automation and integration with other systems through the Model Context Protocol.
Meta Ads
Unlock AI-driven insights and control for your Meta ad campaigns across Facebook and Instagram. Meta Ads MCP enables large language models to analyze performance, visualize creatives, and provide strategic recommendations through a unified interface. Manage campaigns, ad sets, and ads with actionable feedback on budget allocation, targeting, and creative improvements. Compatible with any MCP client and supports comprehensive campaign management on all Meta platforms. Leverage automated monitoring, creative optimization, and detailed performance metrics to maximize your advertising impact effortlessly.
Gemini CLI
Integrates with Google's Gemini CLI to leverage massive token windows for analyzing large files and codebases, providing general queries, sandbox-mode code execution for safe testing, and structured response handling with behavioral flags for context control.
MCP Server Chart
Generate 25+ diverse chart types effortlessly with MCP Server Chart powered by AntV. This TypeScript-based server supports area, bar, line, pie, radar, Sankey, word cloud, and many other charts, including geographic visualizations specific to China. It enables clear and interactive display of data trends, distributions, relationships, and hierarchies. Flexible tool filtering and record management features enhance customization and monitoring. Perfect for visualizing complex datasets, MCP Server Chart integrates smoothly with various MCP tools and environments, providing developers with a powerful, easy-to-use chart generation solution to communicate data visually and effectively.
Similar MCP Servers
Google Cloud Compute Engine
Discover official and open-source Model Context Protocol (MCP) servers from Google. This project provides an up-to-date directory of MCP servers for Google services like Compute Engine. Explore examples and resources that help you build, integrate, and extend intelligent agents using Google's ecosystem of MCP solutions—all designed to streamline context-aware app development and experimentation.
Google Maps
Discover official and open-source Model Context Protocol (MCP) servers from Google. This project provides an up-to-date directory of MCP servers for Google services like Google Maps. Explore examples and resources that help you build, integrate, and extend intelligent agents using Google's ecosystem of MCP solutions—all designed to streamline context-aware app development and experimentation.
Google Kubernetes Engine (GKE)
Discover official and open-source Model Context Protocol (MCP) servers from Google. This project provides an up-to-date directory of MCP servers for Google services like Google Kubernetes Engine (GKE). Explore examples and resources that help you build, integrate, and extend intelligent agents using Google's ecosystem of MCP solutions—all designed to streamline context-aware app development and experimentation.
Microsoft Docs
Access official Microsoft documentation instantly with the Microsoft Learn Docs MCP Server. This cloud service implements the Model Context Protocol (MCP) to enable AI tools like GitHub Copilot and others to perform high-quality semantic searches across Microsoft Learn, Azure, Microsoft 365 docs, and more. It delivers up to 10 concise, context-relevant content chunks in real time, ensuring up-to-date, accurate information. Designed for seamless integration with any MCP-compatible client, it helps AI assistants ground their responses in authoritative, current Microsoft resources for better developer support and productivity.
Supabase MCP Server
Connect Supabase projects directly with AI assistants using the Model Context Protocol (MCP). This server standardizes communication between Large Language Models and Supabase, enabling AI to manage tables, query data, and interact with project features like edge functions, storage, and branching. Customize access with read-only or project-scoped modes and select specific tool groups to fit your needs. Integrated tools cover account management, documentation search, database operations, debugging, and more, empowering AI to assist with development, monitoring, and deployment tasks in your Supabase environment efficiently and securely.
Grafana
Grafana MCP server is a Model Context Protocol (MCP) adapter that exposes a Grafana instance (and its ecosystem: datasources, alerts, incidents, OnCall, annotations, etc.) as a set of small, intention-focused tools for LLM-based assistants and other MCP clients. It lets AI agents safely inspect, query, and (optionally) modify Grafana resources using compact, predictable operations instead of asking the LLM to guess APIs or URLs.