MCP Go is a server-side framework for the Model Context Protocol (MCP) implemented in Go, used to connect LLM applications with external data sources and tools. It provides core functions such as resource management, tool invocation, and prompt templates, and supports session management and middleware extension.

Genkit is an open-source framework for building AI-driven applications, providing Node.js and Go libraries, supporting the integration of multiple AI models and vector databases, and including development tools and a plugin ecosystem.

mcp-golang is an unofficial Go implementation of the Model Context Protocol library, supporting the rapid construction of MCP servers and clients, and providing features such as type safety, low code volume, modularity, and two-way communication.

Eino is an LLM application development framework designed specifically for Golang, aiming to simplify the AI application development process through concise, scalable, reliable, and efficient component abstraction and orchestration capabilities. It provides a rich component library, powerful graphical orchestration functions, complete stream processing support, and a highly scalable aspect mechanism, covering the full-cycle toolchain from development to deployment.

Coco AI is a unified search platform that integrates enterprise applications and data (such as Google Workspace, Dropbox, GitHub, etc.), providing cross-platform search and AI-driven team chat functions, aiming to improve work efficiency and collaboration experience.

An MCP server based on Golang for connecting to Kubernetes clusters, providing resource query and operation functions.

Godot MCP is a Model Context Protocol server designed for the Godot game engine, providing interaction functions with the Godot editor and projects.

Wren Engine is a semantic engine designed for MCP clients and AI agents, providing semantic layer support to enable AI to accurately understand enterprise data models and business logic. It supports multiple data sources and is embedded in MCP clients to ensure the accuracy and governance of data interaction.

Godot MCP is a Model Context Protocol server designed for the Godot game engine, providing functions such as editor control, project execution, and debug output capture, and supporting the interaction between AI assistants and the Godot engine.

A File System MCP Server implemented in Go, providing basic file operation functions such as reading and writing files, directory management, and file search, and supporting interaction through the Model Context Protocol.

A Node.js tool based on Playwright that can bypass search engine anti - scraping mechanisms to perform Google searches and extract results. It can be used as a command - line tool or an MCP server to provide real - time search capabilities for AI assistants.

The Google Workspace MCP Server is a comprehensive multi - client protocol server that controls the full suite of Google office applications such as Calendar, Drive, Gmail, and Docs through natural language. It supports one - click installation on the Claude desktop, providing advanced OAuth authentication and service caching.

This is an MCP server project for Google Calendar, providing integration functions with Google Calendar. It allows reading, creating, updating, and searching for calendar events through standardized interfaces. It supports functions such as adding events from images, calendar analysis, attendance status check, and automatic event coordination.

mcp-client-go is a Golang client library for interacting with Model Context Protocol (MCP) services. It supports multiple services such as Amap and Github and provides a unified API interface.

This project provides an MCP server for deploying code to Google Cloud Run services, supporting deployment from various sources such as AI-assisted IDEs, AI assistant applications, and proxy SDKs.

A type-safe and intuitive Go SDK for building MCP servers

This project builds a bridge between Claude Code and Google Gemini AI, enabling direct calls to Gemini in the Claude Code environment for Q&A, code review, and creative brainstorming, providing a convenient AI collaboration tool.

An MCP server project that enables interaction between Claude Desktop and Google Gemini AI models

Godot MCP is a plugin that connects the Godot engine with AI assistants. It enables two-way interaction through the Model Context Protocol and provides functions such as code assistance, scene operation, and project management.

Open Data MCP is an open - source project aiming to quickly connect public data sets to LLM applications through the MCP protocol. The project provides a CLI tool to achieve a 2 - minute connection (currently supporting Claude) and establishes a community collaboration framework that allows developers to easily contribute and publish public data sets. The core goal is to build an infrastructure that connects all LLM applications with millions of public data sets.

G-Search MCP is a Playwright - based Google parallel search service that supports simultaneous search with multiple keywords and returns structured results.

This project is an MCP server for deploying code to Google Cloud Run, supporting deployment through AI agents, IDEs, and assistant applications.

A Go process inspection tool that provides analysis of goroutine status, memory statistics, and binary information, supporting terminal UI and HTTP API

The Gemini Cloud Assist MCP server is a tool that connects MCP clients with the Google Cloud Gemini Cloud Assist API, allowing users to understand, manage, and troubleshoot Google Cloud environment issues using natural language.

The Markdown Sidecar MCP Server is a structured tool for providing and accessing Markdown documentation of NPM packages, Go modules, or PyPi packages from an MCP server.

An Azure Data Explorer MCP Server based on the Go SDK, supporting database queries and table structure viewing.

An MCP server implemented based on go - mcp, used for automated vulnerability scanning tasks in emergency response. It supports generating POCs, creating scanning tasks and workflows, and is compatible with both HTTP API and MCP protocol.

A natural language form management system integrating the Google Forms API and CamelAIOrg agents

A Google contact service based on the MCP protocol that provides contact management, organizational directory search, and Google Workspace interaction functions.

MCP service for accessing Google Search Console data

An MCP server that provides BibTeX - formatted reference data, integrating CiteAs and Google Scholar resources

The Image Gen MCP Server is a general AI image generation service that provides cross - platform and multi - model image generation capabilities for various LLM chatbots through the Model Context Protocol (MCP) standard protocol. It supports multiple image models from OpenAI and Google, enabling seamless conversion from text conversations to visual content.

An MCP server based on SerpApi for quickly retrieving search engine parsing results.

A voice recording and transcription MCP server based on the Whisper model, which can be used as an extension of Goose AI or run independently, supporting various recording scenarios and model configurations.

HAProxy MCP Server is an HAProxy model context protocol server implemented in Go language. Through the HAProxy runtime API and the mcp-go library, it provides a standardized HAProxy management interface for large language models, supporting natural language interaction for load balancer management, monitoring, and traffic analysis.

An image generation tool based on Google Imagen 3.0, providing services through the MCP protocol, supporting photo-realistic quality generation

The GoPlus Security MCP Server provides blockchain security analysis tools based on the GoPlus Security API, including Rug Pull detection, phishing website identification, NFT security analysis, etc. It supports multiple mainstream blockchain networks such as Ethereum, BSC, and Polygon.

An MCP server for web research that integrates Google Search, web page content extraction, session tracking, and screenshot functions to help Claude conduct real-time information retrieval.

An implementation of a local proxy server and client based on the MCP platform, integrating multiple AI tool functions such as weather query, Google search, camera control, image generation, and intelligent dialogue, supporting modular expansion and high-performance concurrent processing.

An MCP server that provides AI assistants with the ability to interact with Google services, supporting Gmail, Calendar, Drive, and Search functions