Awesome MCP › Agent Orchestration Platforms

lastmile-ai/mcp-agent

⭐ 8545 Python repository created 2024-12-18

mcp-agent is a lightweight, composable framework designed for building AI agents using the Model Context Protocol (MCP). It provides a standardized and model-agnostic approach to creating effective AI agents and orchestrating multiple agents together. The project is inspired by two foundational updates from Anthropic: the Model Context Protocol, which standardizes the interface for AI assistants to access software via MCP servers, and the concept of Building Effective Agents, which outlines simple, composable patterns for production-ready AI agents. The framework simplifies the management of MCP server connections, allowing developers to focus on building agent logic without worrying about the underlying server lifecycle. It implements all the agent patterns described in the Building Effective Agents research, enabling users to chain these patterns together in a composable manner. Additionally, mcp-agent incorporates OpenAI's Swarm pattern for multi-agent orchestration, but in a way that is independent of any specific AI model. mcp-agent supports various workflows such as augmented language models, parallel execution, routing, intent classification, orchestrator-workers, evaluator-optimizer, and multi-agent swarm orchestration. It also facilitates composing multiple workflows, signaling, human input integration, and MCP server management. The framework is designed to be simple and easy to use, with example applications provided to help users get started quickly. The project is in early development and welcomes contributions and feedback to help it grow into a new standard for AI agent development. It is particularly suited for developers looking to build robust AI applications that leverage the Model Context Protocol for interoperability and extensibility across different AI models and services. Keywords: Model Context Protocol, MCP, AI agents, multi-agent orchestration, agent patterns, composable framework, OpenAI Swarm, AI application framework, augmented language models, multi-agent systems, AI workflows, model-agnostic, MCP servers, AI development, agent lifecycle management, AI orchestration, open source, early development, Python framework.

https://github.com/lastmile-ai/mcp-agent

agent-frameworkagent-lifecycle-managementagent-patternsagentsaiai-agentsai-application-frameworkai-developmentai-orchestrationai-workflowsanthropicasynchronousaugmented-language-modelsbuilding-effective-agentscomposable-frameworkcomposable-patternsearly-developmentfetch-serverfilesystem-serverhuman-in-the-loopllmllmsmcpmcp-serversmodel-agnosticmodel-context-protocolmulti-agent-orchestrationmulti-agent-systemsmulti-turn-interactionsopen-sourceopenai-swarmpythonpython-framework