Cross-System Agent Communication MCP Server
About
MCP server that enables communication and coordination between different Roo modes/roles across multiple systems
Details
- Author
- mkc909
- Downloads
- 233
- Categories
- AI
Jump to
- 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
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.
Cross-System Agent Communication MCP Server
Overview
This MCP server enables communication and coordination between different Roo modes/roles across multiple systems. It creates a "team of agents" architecture where specialized LLM agents can collaborate on tasks, share context, and coordinate work.
Features
- Agent Registry: Register and manage different Roo modes/roles with their capabilities
- Message Bus: Enable asynchronous communication between agents
- Task Coordination: Manage task assignment and progress tracking
- Context Sharing: Facilitate knowledge transfer between agents
- GitHub Integration: Create and track GitHub issues, manage pull requests
- PlanetScale Integration: Store agent data, messages, and tasks in a scalable database
Architecture
The Cross-System Agent Communication MCP Server consists of three main components:
1. Core MCP Server
- Agent Registry
- Message Bus
- Task Coordination
- Context Sharing
2. GitHub Integration Layer
- Issue Management
- PR Workflow
- Project Management
3. PlanetScale Database Layer
- Agent Data Storage
- Message Storage
- Task Database
Getting Started
Prerequisites
- Node.js 18 or higher
- TypeScript 5.3 or higher
- GitHub API access
- PlanetScale database account
Installation
1. Clone the repository:
git clone https://github.com/mkc909/agent-communication-mcp-server.git
cd agent-communication-mcp-server
2. Install dependencies:
npm install
3. Create a .env file with the following variables:
GITHUB_TOKEN=your_github_token
PLANETSCALE_HOST=your_planetscale_host
PLANETSCALE_USERNAME=your_planetscale_username
PLANETSCALE_PASSWORD=your_planetscale_password
4. Build the project:
npm run build
5. Start the server:
npm start
Development
Running in Development Mode
npm run dev
Running Tests
npm test
Linting
npm run lint
API Endpoints
Agent Management
- register_agent: Register a new agent
- update_agent: Update agent information
- get_agent: Get agent information
- list_agents: List all registered agents
Messaging
- send_message: Send message to another agent
- get_messages: Get messages for an agent
- mark_message_read: Mark message as read
- delete_message: Delete a message
Task Management
- create_task: Create a new task
- assign_task: Assign task to an agent
- update_task_status: Update task status
- get_task: Get task details
- list_tasks: List tasks
Context Sharing
- create_context: Create shared context
- update_context: Update shared context
- share_context: Share context with agent
- get_context: Get shared context
- list_contexts: List shared contexts
GitHub Integration
- github_create_issue: Create GitHub issue
- github_comment_issue: Comment on GitHub issue
- github_create_pr: Create GitHub PR
- github_review_pr: Review GitHub PR
License
MIT
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