MCP Atlassian is a Model Context Protocol server designed for Atlassian products (Confluence and Jira), supporting both cloud and on-premises deployments and providing AI assistant integration functions.

This project is an implementation of an MCP server integrated with the Sonar API, providing real-time web search capabilities for Claude. It includes guides on system architecture, tool configuration, Docker deployment, and multi-platform integration.

mcp-installer is a service tool for installing other MCP servers. It supports installing Node and Python servers through npm or PyPi, simplifying the deployment process of MCP servers.

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.

FastAPI-MCP is a library that exposes FastAPI endpoints as Model Context Protocol (MCP) tools, with built-in authentication, supporting flexible deployment and ASGI transmission.

A Docker operation protocol server based on Claude AI, providing functions such as container and Compose stack creation, deployment, and log viewing.

automcp is a tool that can easily convert existing AI agent frameworks (such as CrewAI, LangGraph, etc.) into MCP servers to achieve standardized interface access. It supports the adaptation and deployment of multiple frameworks and provides functions for quick startup and configuration.

A lightweight MCP server that provides real-time weather data query and parsing functions for AI assistants such as Claude. Supports both local and remote deployment methods, including Docker containerization solutions.

The DevOps AI Toolkit is an AI-based platform engineering and DevOps automation tool that provides functions such as resource deployment recommendations, problem repair, project governance, and a shared prompt library for teams through intelligent Kubernetes operations and conversational workflows, enabling complex cloud-native operations to be achieved through natural language interaction.

API 200 is an open - source API integration platform that provides functions for quick access and management of third - party APIs, including features such as automatic code generation, documentation, authentication, caching, and error handling. It supports self - hosted deployment and MCP services.

XiYan MCP Server is a Model Context Protocol server based on XiYan - SQL, which supports querying databases through natural language, provides multiple LLM model configurations and database connection methods, and is suitable for local or remote deployment.

n8n is a workflow automation platform for technical teams, combining code flexibility and no - code speed, offering over 400 integrations, native AI capabilities, and fair - code licensing, supporting self - hosting or cloud deployment.

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.

ToolHive is a lightweight tool designed to simplify the deployment and management of MCP servers, providing ease of use, consistency, and security.

RagRabbit is a self - hosted AI site search and LLM.txt generation tool that supports one - click deployment on Vercel.

The MCP Test Client is a middleware that serves both as a server for Claude and as a client for the server under test. It is used to test MCP servers during the development phase. It supports functions such as server deployment, tool invocation, test running, and log viewing, and provides a CLI interaction interface.

XiYan MCP Server is a model context protocol server based on XiYan-SQL that supports querying databases through natural language and provides options for integrating multiple LLM models and local deployment.

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

A simple MCP server based on Perplexity AI, providing web search functionality and supporting development and deployment in the Windows environment.

This is an automated deployment script project for installing and configuring multiple Model Context Protocol (MCP) robot services on a Windows system, including functions such as file system, GitHub, search, and memory management, and provides detailed installation guides and troubleshooting methods.

The IBM i MCP server is a server based on the Model Context Protocol, providing SQL tools, monitoring, and automation functions for the IBM i system, supporting multiple client integrations and containerized deployment

This project demonstrates a real-time multi-tool agent architecture based on LangGraph and the MCP protocol. By decoupling agent orchestration and tool execution, it realizes a modular and scalable AI system. The MCP service supports multiple transport protocols (SSE/STDIO), allows AI agents to dynamically call remote tools, and has cross-language and cloud deployment capabilities.

This project includes multiple GitHub Actions workflows for automated deployment and image publishing, including core service building and deployment, runner image building, and template synchronization to cloud storage.

A Model Context Protocol (MCP) server template project based on TypeScript, providing a structured, maintainable and extensible framework, including implementation examples of tools, resources and prompts, supporting configuration management, logging, error handling and containerized deployment.

The StrawHat AI development repository provides a complete solution for building local and online AI development environments, including various tools such as the Ollama backend, Open - WebUI frontend, and Claude desktop proxy, supporting rapid deployment and development of AI applications.

This project implements a server based on the Model Context Protocol (MCP) for deploying web applications to AWS serverless infrastructure, supporting automatic deployment of front - end, back - end, and full - stack applications.

The Coolify MCP Server is a model context protocol server integrated with the Coolify API, providing functions such as team management, server management, service lifecycle management, and application deployment.

The Railway MCP Server is a service based on the Model Context Protocol (MCP) for managing the infrastructure of Railway.app through natural language, including deploying services, managing variables, and monitoring deployments.

The Quickchat AI MCP server allows users to integrate Quickchat AI agents into various AI applications, such as Claude Desktop and Cursor, and achieve seamless connection through the Model Context Protocol (MCP). Users can easily configure and manage MCP services through the Quickchat AI dashboard without complex deployment.

A Solana token issuance server integrated with AI functions, providing innovative features such as token concept generation, image creation, and DNA sequence generation, and supporting token creation and deployment on the Solana blockchain.

Data Agents is a GenAI - based data engineering agent platform that automates data workflows through multi - agent collaboration, supports multiple AI backends and n8n integration, and provides a modern UI interface and Docker deployment solution.

This project uses Docker to build an MCP server that integrates Redis and TimescaleDB, providing features such as fast deployment, automatic restart, and useful scripts.

The SQL Stream Builder MCP Server is a comprehensive SSB management platform that provides full access to SSB functions through more than 80 MCP tools. It supports independent deployment and CDP deployment, covering functions such as job management, real-time data sampling, system monitoring, and user management.

An OAuth2 authorization server project based on Spring Boot 3 and Java 24, supporting GraalVM native images, CRaC checkpoint restoration, local AI model testing, and Docker deployment.

The FetchSERP MCP server is an API service that provides functions such as SEO analysis, SERP query, web page crawling, and keyword research, supporting multiple deployment methods.

MCP Email Verify is a lightweight server based on the Model Context Protocol (MCP) for real-time verification of email address validity. It checks email format, domain name validity, and deliverability through AbstractAPI and is suitable for integration into AI applications such as Claude Desktop. The project offers simple deployment and MCP compatibility, supporting Python environments.

A Model Context Protocol (MCP) server for Rollbar, providing a variety of tools to query Rollbar project data, such as getting error details and deployment records.

An MCP server template for creating custom tools for Cursor IDE, supporting multiple deployment methods

This project is a server - side implementation based on the Model Context Protocol (MCP) for connecting to the GraphQL API to access policy data. It is built using the Python SDK and GQL library and supports rapid deployment through the uv tool.

An enterprise-level MCP server that provides intelligent analysis of GitHub repositories and AI development assistance, including 11 tools, supporting Docker deployment and real-time monitoring.