VIYAN MCP
by nekhss
README.md
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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
- š°ļø Standardized communication between autonomous satellite agents
- š¤ Collision negotiation and coordination protocol
- ā ļø Real-time risk notification exchange
- š” Maneuver proposal and approval workflow
- š Decision and status broadcasting
- š Extensible message format for future missions
---
## Message Flow
```
Trajectory Prediction
ā
ā¼
Conjunction Detection
ā
ā¼
Risk Assessment
ā
ā¼
Negotiation Request
ā
ā¼
Agent Communication (MCP)
ā
ā¼
Decision Exchange
ā
ā¼
Maneuver Approval
ā
ā¼
Mission Execution
```
---
## Project Structure
```
mcp/
āāā server.py
āāā tools/
āāā handlers/
āāā models/
āāā utils/
āāā 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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