agents-mcp-usage
Agents MCP Usage demonstrates the implementation of a Model Context Protocol server, showcasing the integration of various agent frameworks to solve complex problems. This open-source project provides comprehensive examples and supports flexibility with multiple agent frameworks.
🚀 Agents MCP Usage
Welcome to the Agents MCP Usage repository! This repository demonstrates a simple Model Context Protocol (MCP) server using various Agent Frameworks. It serves as a practical example for developers and researchers interested in the integration of agents with the MCP architecture.
Features
- Multiple Agent Frameworks: Supports various frameworks for flexibility.
- Easy Setup: Simple installation process to get you started quickly.
- Comprehensive Examples: Includes examples to demonstrate functionality.
- Open Source: Freely available for modification and enhancement.
Technologies Used
- Python: The primary programming language.
- ADK-Python: For developing agent-based applications.
- Pydantic: For data validation and settings management.
- OpenAI: For integrating AI capabilities.
- Gemini: For advanced agent functionalities.
- Logfire: For logging and monitoring.
- MCP Server: The core of the project, implementing the Model Context Protocol.
Usage
After installing, you can start using the MCP server by starting the server, interacting with agents, and monitoring logs for debugging and monitoring purposes.
Contributing
We welcome contributions to improve this repository. If you have suggestions or enhancements, please follow these steps: fork the repository, create a new branch, commit your changes, and create a pull request.