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Cross-System Agent Communication MCP Server

@mkc909

关于 Cross-System Agent Communication MCP Server

MCP server that enables communication and coordination between different Roo modes/roles across multiple systems

基本信息

分类

AI 与智能体

运行时

node

传输方式

stdio

发布者

mkc909

配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

工具

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概览

What is Cross-System Agent Communication MCP Server?

This MCP server enables communication and coordination between different Roo modes/roles across multiple systems, creating a "team of agents" architecture where specialized LLM agents collaborate on tasks, share context, and coordinate work.

How to use Cross-System Agent Communication MCP Server?

Clone the repository, install dependencies, create a .env file with required tokens (GitHub token and PlanetScale credentials), build the project with npm run build, and start the server with npm start. Use the provided API endpoints for agent management, messaging, task coordination, context sharing, and GitHub integration.

Key features of Cross-System Agent Communication MCP Server

  • Agent Registry to register and manage Roo modes/roles with capabilities
  • Message Bus for asynchronous communication between agents
  • Task Coordination for assignment and progress tracking
  • Context Sharing to facilitate knowledge transfer between agents
  • GitHub Integration for issues, pull requests, and project management
  • PlanetScale Integration for scalable storage of agent data, messages, and tasks

Use cases of Cross-System Agent Communication MCP Server

  • Orchestrating a team of specialized LLM agents to solve complex tasks collaboratively.
  • Sharing context and progress across different agent roles (e.g., architect, coder, reviewer).
  • Tracking and managing tasks assigned to multiple agents with status updates.
  • Integrating agent communication with GitHub workflows for issue and PR management.

FAQ from Cross-System Agent Communication MCP Server

What does this server do?

It enables communication, task coordination, and context sharing between different Roo modes/roles across multiple systems, forming a team of agents.

What are the prerequisites to use this server?

Node.js 18 or higher, TypeScript 5.3 or higher, GitHub API access, and a PlanetScale database account.

How do I install and configure the server?

Clone the repository, run npm install, create a .env file with GITHUB_TOKEN and PlanetScale connection variables (PLANETSCALE_HOST, PLANETSCALE_USERNAME, PLANETSCALE_PASSWORD), then build with npm run build and start with npm start.

What integrations are supported?

GitHub (issue creation, commenting, pull request creation and review) and PlanetScale (storage of agent data, messages, and tasks).

How do I interact with the server after startup?

Use the defined API endpoints for agent management (register, update, get, list), messaging (send, get, mark read, delete), task management (create, assign, update status, get, list), context sharing (create, update, share, get, list), and GitHub actions (create issue, comment, create PR, review PR).

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