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Cross-System Agent Communication MCP Server

by mkc909
GitHub
TypeScript
  • Linux
  • Apple
OverviewInspectNewSchemaRelated ServersReviewsScore
Need Help?View Source CodeReport Issue

Integrations

  • Enables configuration management through environment variables for GitHub tokens and PlanetScale database credentials.

  • Enables management of GitHub issues, pull requests, and project tracking. Provides functionalities for creating and commenting on issues, creating and reviewing PRs, and integrating with GitHub's project management features.

  • Powers the core server functionality for agent registry, message bus, task coordination, and context sharing between AI agents.

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

This server cannot be installed

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license - not found
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quality - not tested

Enables communication and coordination between different LLM agents across multiple systems, allowing specialized agents to collaborate on tasks, share context, and coordinate work through a unified platform.

  1. Overview
    1. Features
      1. Architecture
        1. Getting Started
          1. Prerequisites
          2. Installation
        2. Development
          1. Running in Development Mode
          2. Running Tests
          3. Linting
        3. API Endpoints
          1. Agent Management
          2. Messaging
          3. Task Management
          4. Context Sharing
          5. GitHub Integration
        4. License

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