The Stripe Agent Toolkit is a toolkit that supports the integration of multiple AI agent frameworks (such as OpenAI, LangChain, CrewAI, etc.) with the Stripe API. It provides support for Python and TypeScript, simplifying payment-related operations.

MCPAdapt is an open - source project aiming to seamlessly integrate the tools of over 650 MCP servers into various agent frameworks, enabling developers to easily use these tools in their agent workflows.

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.

MCPHub is an embeddable Model Context Protocol (MCP) solution for AI service integration. It provides a unified way of configuration and management, supports multiple AI frameworks (such as OpenAI Agents, LangChain, Autogen), and simplifies the connection between MCP servers and AI applications.

The MCP Agent Tool Adapter project enables modular tool invocation through the MCP protocol, supports two agent frameworks, Google ADK and LangGraph, and provides dynamic inference and tool planning capabilities.

AgentMail Toolkit is a development toolkit that integrates multiple frameworks and protocols

Azure MCP Hub is a platform that helps developers quickly build, run, or reuse Model Context Protocol (MCP) servers. It supports multiple programming languages and AI frameworks, enabling AI agents to call real APIs.

The Maton Agent Toolkit is a toolkit that supports the integration of multiple agent frameworks (including MCP) with the Maton API, provides TypeScript support, and simplifies the API call process.

A VMware Fusion virtual machine management MCP server based on FastMCP, providing functions such as virtual machine listing, information query, and power operations, and supporting integration with LLM and agent frameworks.

A2AMCP is a real-time collaboration protocol between AI agents based on Redis, which solves the code conflict problem during parallel development of multiple AI agents, provides functions such as file locking, interface sharing, and task coordination, and supports Docker deployment and integration with mainstream AI frameworks.

The PayPal Agent Toolkit is an integration toolkit that supports the interaction between multiple agent frameworks and the PayPal API, providing various functions such as invoices, orders, disputes, logistics, products, subscriptions, and transactions.

automcp is a tool that can convert existing AI agent frameworks (such as CrewAI and LangGraph) into MCP protocol servers, enabling standardized interface access. It supports rapid deployment, multi - framework adaptation, and provides two transmission modes: SSE and STDIO.

This project demonstrates how to integrate a Model Context Protocol (MCP) server with multiple LLM agent frameworks, including Google ADK, LangGraph, OpenAI Agents, and Pydantic - AI. It connects different LLM providers through a standardized interface and uses Logfire for tracking and visualization.

An MCP server that provides best practices for AI agent access development, security guidelines, and coding standards. It supports multiple programming languages and frameworks, includes over 284 standards, and features a plug-in architecture and fast memory storage.

This is a list of multiple open - source AI projects, covering multiple fields such as automated agents, large - language models, image generation, and AI development frameworks. These projects aim to help developers make money using AI technology, including building intelligent assistants, automating workflows, and content generation applications.

AgentMCP is a universal AI agent collaboration system. Through a simple decorator, any AI agent can be connected to the global collaboration network (MACNet) to achieve automatic communication and task coordination across frameworks and protocols.