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MCP Server: Cross-System Collaboration & Unified Communication - MCP Implementation

MCP Server: Cross-System Collaboration & Unified Communication

The MCP Server: Where Roo roles ditch drama, speak the same language, and finally play nice across systems. Teamwork unlocked!" )

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About MCP Server

What is MCP Server: Cross-System Collaboration & Unified Communication?

MCP Server is the backbone of a "team of agents" architecture, designed to bridge gaps between AI models and real-world systems. Think of it as a universal translator for software agents—enabling specialized AI tools like Roo modes/roles to collaborate seamlessly across GitHub, databases, and more. Instead of siloed systems working in isolation, MCP lets them share knowledge, assign tasks, and even auto-generate pull requests like a well-oiled digital team.

How to use MCP Server: Cross-System Collaboration & Unified Communication?

Start by installing Node.js and TypeScript—your tech stack foundation. Once the repo is cloned and dependencies are in place, set up your .env with GitHub and PlanetScale credentials. The magic happens through three core layers: the Core Server handles agent coordination, the GitHub layer automates devops tasks, and the database layer keeps everything scalable. Want to see agents work together? Just send a message through the API and watch the MCP server orchestrate the rest.

MCP Server Features

Key Features of MCP Server: Cross-System Collaboration & Unified Communication?

1. Agent Registry: Keep track of every AI team member's capabilities
2. Message Bus: Async communication that works like a digital whiteboard
3. GitHub Automation: Create issues, review PRs, and manage workflows programmatically
4. Context Sharing: Transfer knowledge between agents faster than a coffee break
5. Rock-solid Database: PlanetScale ensures your agent data scales with your ambitions

Use cases of MCP Server: Cross-System Collaboration & Unified Communication?

Developers love using MCP to:
- Automate code reviews by linking QA agents with GitHub
- Build cross-platform bots that sync data across systems
- Create self-optimizing workflows where agents delegate tasks intelligently
- Maintain version control for AI-generated documentation

MCP Server FAQ

FAQ from MCP Server: Cross-System Collaboration & Unified Communication?

Q: Do I need specific versions? A: Node.js 18+ and TypeScript 5.3+ are mandatory—no compromises here.
Q: Can agents work offline? A: The message bus handles async communication, but cloud dependencies require internet access.
Q: How secure is it? A: GitHub/PlanetScale integrations use your own credentials, with no backend storage in the MCP server itself.
Q: Can I add custom systems? A: The modular architecture makes adding new integrations as easy as writing a plugin.

Content

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
  1. GitHub Integration Layer
* Issue Management
* PR Workflow
* Project Management
  1. 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

  1. Install dependencies:

    npm install

  2. 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

  1. Build the project:

    npm run build

  2. 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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