What is mcp-agent?
mcp-agent is a framework designed to build effective AI agents using the Model Context Protocol (MCP) and simple workflow patterns. It simplifies the process of managing connections to MCP servers and allows developers to create robust agent applications.
How to use mcp-agent?
To use mcp-agent, you can install it via pip with the command pip install mcp-agent. You can also explore example applications provided in the repository to get started quickly.
Key features of mcp-agent?
- Simplifies the lifecycle management of MCP server connections.
- Implements various patterns for building effective agents, including multi-agent orchestration.
- Provides a composable framework that allows chaining of different agent patterns.
Use cases of mcp-agent?
- Building multi-agent collaborative workflows.
- Creating human-in-the-loop workflows for enhanced decision-making.
- Developing applications that require integration with multiple MCP servers for data retrieval and processing.
FAQ from mcp-agent?
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What is the Model Context Protocol (MCP)?
MCP is a standardized interface that allows software to be accessible to AI assistants via MCP servers. -
Is mcp-agent free to use?
Yes,mcp-agentis open-source and free to use under the Apache-2.0 license. -
Can I contribute to mcp-agent?
Absolutely! Contributions are welcome, and you can find guidelines in the repository.