Solon is an efficient, open, and eco - friendly Java enterprise application development framework that supports all - scenario development. It features high performance, low memory consumption, fast startup, and small - volume packaging. It is compatible with Java 8 to Java 24 and the GraalVM native runtime.

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 knowledge graph management server based on the MCP protocol, supporting multiple startup methods and complete knowledge graph operation functions, including experimental short story generation capabilities.

easyMcp is a tool that helps developers quickly build an extensible MCP server framework, supports two startup modes (stdio and SSE), and simplifies the development process.

The Zhiyan Platform is an open - source platform for agent communication and development, aiming to help AIGC enthusiasts better understand and develop Agents. The platform provides a variety of default Agent functions, such as email sending, information search, weather query, paper search, express delivery query, and document retrieval, and supports users to customize tools. The project supports quick startup and Docker deployment, and plans to add a tool store and automatic build functions in the future.

A minimized MCP service implementation for Cursor IDE based on the official MCP SDK, used for rapid startup or experimentation.

The Square MCP service is a project that follows the Model Context Protocol standard, providing an interface for interacting with the Square Connect API, supporting quick startup, multi-environment configuration, and integration with mainstream AI assistants.

The Universal Documentation MCP Server is a high - performance MCP server that can transform any documentation website into an AI - accessible knowledge base. It supports multiple platforms such as GitBook, Vercel Documentation, and Next.js sites, and has features such as instant startup, intelligent caching, and automatic domain name detection.

Project startup involves creating a virtual environment, synchronizing dependencies, and running a development server. Pay attention to code hot reload and API key management, and refer to other MCP service implementations.

This is a startup template for creating a custom MCP server for Puch AI, including job search analysis and image processing tools, supporting secure external connections and authentication.

This project provides a Claude-compatible Milvus MCP server, including the FastMCP service, Milvus database configuration, and startup scripts, supporting connection and operation of the Milvus vector database through the Claude desktop client.

This project is a server implementation based on the Model Context Protocol (MCP) for managing model contexts, providing quick startup and basic functions.

Project initialization

Guide for installing and starting the MCP Server Fetch project

The MCP Server Starter is a server startup project that provides learning resources for AI - assisted software development and is associated with multiple developer tool projects.

Python project environment initialization and MCP service startup

A TypeScript - based MCP server startup template that provides basic configurations and sample tool implementations to help quickly build custom MCP services.

Kaishi MCP Server is a server project based on the Bun environment, providing fast startup and development support.

PitchLense MCP is a professional AI-driven startup risk assessment toolkit that provides a comprehensive assessment for investment decisions through multi-dimensional risk analysis (market, product, team, finance, etc.), supporting MCP protocol integration and various usage methods.

The UV toolchain project provides Python dependency management and service running functions, supporting dependency synchronization, service startup, and client testing.

A personal MCP server project that provides local MCP service configuration and startup functions

The project includes Node.js startup scripts for the server and client.

An MCP server project based on FastAPI, providing functions for dependency installation, service startup, and local debugging.

The MCP startup project is an AI application development framework that includes a Python server - side and a TypeScript client - side, supporting the interaction between AI models and external tools/APIs, and providing functions such as document search and conversation management.

The project involves the development and testing of MCP services, including environment configuration, service startup, and client testing.

A template project for React + TypeScript + Vite, providing quick startup and development environment configuration

A weather MCP server developed based on TypeScript, providing simulated weather data and related functions, including real - time weather, multi - day forecast, weather alerts, etc., supporting multiple startup methods and API access.

Project setup guide, including environment configuration and startup steps for the backend and front - end, as well as an API interface for checking the availability of MCP servers.

A Python project for testing the interaction between the MCP server and Claude, including environment setup and server startup steps

An efficient webpage content extraction tool designed for AI agents, capable of converting webpages to concise Markdown format, with features such as quick startup, intelligent caching, and polite crawling.