lastmile-ai/mcp-agent
🏗️ Frameworklastmile-ai
Build robust AI agents leveraging the Model Context Protocol and intuitive workflow patterns.
mcp-agent is a powerful Python-based framework that bridges the gap between LLMs and external data environments using the Model Context Protocol (MCP). It is engineered to help developers construct agents that are not only capable of reasoning but are also deeply integrated with their specific toolsets and data silos. The framework abstracts the complexity of MCP, allowing users to define agent behaviors through simple, readable workflow patterns. Key features include native support for MCP servers, modular agent architecture, and an extensible design that supports various LLM backends. By standardizing how agents communicate with tools, mcp-agent reduces the boilerplate code typically required for agentic workflows, making it easier to maintain and scale complex AI applications. Whether you are building a research assistant, a data analysis agent, or an automated workflow orchestrator, this framework provides the necessary primitives to ensure your agents remain contextually grounded and highly effective.
💡Highlights
- ├─Native Model Context Protocol support
- ├─Python-based modular agent architecture
- └─Simplifies complex tool-use workflows
🎯For
- ├─AI Engineers
- └─Backend Developers