Cross-System Agent Communication MCP Server

what is Cross-System Agent Communication MCP Server? The Cross-System Agent Communication MCP Server is a platform that facilitates communication and coordination among different Roo modes/roles across multiple systems, creating a collaborative environment for specialized LLM agents. how to use Cross-System Agent Communication MCP Server? To use the MCP Server, clone the repository, install dependencies, configure environment variables, build the project, and start the server. You can also run it in development mode and execute tests. key features of Cross-System Agent Communication MCP Server? Agent Registry for managing different Roo modes/roles Asynchronous communication via a Message Bus Task Coordination for managing assignments and progress Context Sharing for knowledge transfer between agents Integration with GitHub for issue and project management PlanetScale integration for scalable data storage use cases of Cross-System Agent Communication MCP Server? Coordinating tasks among multiple agents in a project. Managing agent communication in a distributed system. Facilitating knowledge sharing between specialized agents. FAQ from Cross-System Agent Communication MCP Server? What are the prerequisites for using the MCP Server? You need Node.js 18 or higher, TypeScript 5.3 or higher, GitHub API access, and a PlanetScale database account. How do I integrate GitHub with the MCP Server? You can create and manage GitHub issues and pull requests through the integrated GitHub API. Is there a license for the MCP Server? Yes, the project is licensed under the MIT License.

As an MCP (Model Context Protocol) server, Cross-System Agent Communication MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the MCP Server, clone the repository, install dependencies, configure environment variables, build the project, and start the server. You can also run it in development mode and execute tests. key features of Cross-System Agent Communication MCP Server? Agent Registry for managing different Roo modes/roles Asynchronous communication via a Message Bus Task Coordination for managing assignments and progress Context Sharing for knowledge transfer between agents Integration with GitHub for issue and project management PlanetScale integration for scalable data storage use cases of Cross-System Agent Communication MCP Server? Coordinating tasks among multiple agents in a project. Managing agent communication in a distributed system. Facilitating knowledge sharing between specialized agents. FAQ from Cross-System Agent Communication MCP Server? What are the prerequisites for using the MCP Server? You need Node.js 18 or higher, TypeScript 5.3 or higher, GitHub API access, and a PlanetScale database account. How do I integrate GitHub with the MCP Server? You can create and manage GitHub issues and pull requests through the integrated GitHub API. Is there a license for the MCP Server? Yes, the project is licensed under the MIT License.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.