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.

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.

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.

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.

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.

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 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.

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.