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# NitroStack Starter Template

Minimal template for learning NitroStack fundamentals with a calculator-focused
MCP server and basic widgets.

## What This Template Includes

- `calculator` module with tools, resources, and prompts
- TypeScript + Zod validation setup
- Widget-ready project structure
- Production-friendly npm scripts

## Quick Start

```bash
npx @nitrostack/cli init my-server --template typescript-starter
cd my-server
npm run dev
```

## Common Commands

```bash
npm run dev
npm run build
npm start
```

## NitroStudio

NitroStudio is the recommended way to test and debug this template during
development.

- Download: <https://nitrostack.ai/studio>
- Studio: <https://nitrostack.ai/studio>

## Links

- Docs: <https://docs.nitrostack.ai>
- Templates docs: <https://docs.nitrostack.ai/templates/01-starter-template>
- Main repository: <https://github.com/nitrocloudofficial/nitrostack>

## Community

- Discord: <https://discord.gg/uVWey6UhuD>
- X: <https://x.com/nitrostackai>
- YouTube: <https://www.youtube.com/@nitrostackai>
- LinkedIn: <https://linkedin.com/company/nitrostack-ai/>
- GitHub: <https://github.com/nitrostackai>
=======
# VIYAN MCP

**Mission Coordination Protocol (MCP)** for VIYAN, an AI-powered autonomous orbital coordination platform.

## Overview

VIYAN MCP enables intelligent communication and coordination between autonomous satellite agents. It provides a standardized protocol for exchanging mission-critical information such as collision risks, negotiation requests, maneuver decisions, and execution status.

As satellite constellations continue to grow, seamless inter-agent communication becomes essential for safe and autonomous space traffic management. VIYAN MCP serves as the communication backbone that allows distributed AI agents to collaborate in real time.

---

## Features

- šŸ›°ļø Standardized communication between autonomous satellite agents
- šŸ¤ Collision negotiation and coordination protocol
- āš ļø Real-time risk notification exchange
- šŸ“” Maneuver proposal and approval workflow
- šŸ“Š Decision and status broadcasting
- šŸ”’ Extensible message format for future missions

---

## Message Flow

```
Trajectory Prediction
        │
        ā–¼
Conjunction Detection
        │
        ā–¼
Risk Assessment
        │
        ā–¼
Negotiation Request
        │
        ā–¼
Agent Communication (MCP)
        │
        ā–¼
Decision Exchange
        │
        ā–¼
Maneuver Approval
        │
        ā–¼
Mission Execution
```

---

## Project Structure

```
mcp/
ā”œā”€ā”€ server.py
ā”œā”€ā”€ tools/
ā”œā”€ā”€ handlers/
ā”œā”€ā”€ models/
ā”œā”€ā”€ utils/
└── README.md
```

---

## Technology Stack

- Python
- MCP SDK
- JSON Messaging
- Async Communication
- FastAPI (integration)

---

## Getting Started

Clone the repository:

```bash
git clone https://github.com/<your-username>/viyan-mcp.git
cd viyan-mcp
```

Install dependencies:

```bash
pip install -r requirements.txt
```

Run the MCP server:

```bash
python server.py
```

---

## Role in VIYAN

The MCP module is responsible for enabling autonomous coordination between satellite agents. It acts as the communication layer connecting trajectory prediction, collision assessment, negotiation, and decision-making components into a unified workflow.

---

## Future Enhancements

- Multi-operator communication support
- Secure authenticated messaging
- Distributed agent orchestration
- Live telemetry streaming
- Fault-tolerant communication
- Scalable constellation support

---

## License

MIT License
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