Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@VIYAN MCP Coordinate collision avoidance with satellite Alpha."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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Minimal template for learning NitroStack fundamentals with a calculator-focused MCP server and basic widgets.
calculator module with tools, resources, and prompts
TypeScript + Zod validation setup
Widget-ready project structure
Production-friendly npm scripts
Related MCP server: agent-broker
npx @nitrostack/cli init my-server --template typescript-starter
cd my-server
npm run devnpm run dev
npm run build
npm startNitroStudio is the recommended way to test and debug this template during development.
Download: https://nitrostack.ai/studio
Studio: https://nitrostack.ai/studio
Templates docs: https://docs.nitrostack.ai/templates/01-starter-template
Main repository: https://github.com/nitrocloudofficial/nitrostack
Discord: https://discord.gg/uVWey6UhuD
Mission Coordination Protocol (MCP) for VIYAN, an AI-powered autonomous orbital coordination platform.
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.
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
Trajectory Prediction
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Conjunction Detection
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Risk Assessment
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Negotiation Request
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Agent Communication (MCP)
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Decision Exchange
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Maneuver Approval
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Mission Executionmcp/
āāā server.py
āāā tools/
āāā handlers/
āāā models/
āāā utils/
āāā README.mdPython
MCP SDK
JSON Messaging
Async Communication
FastAPI (integration)
Clone the repository:
git clone https://github.com/<your-username>/viyan-mcp.git
cd viyan-mcpInstall dependencies:
pip install -r requirements.txtRun the MCP server:
python server.pyThe 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.
Multi-operator communication support
Secure authenticated messaging
Distributed agent orchestration
Live telemetry streaming
Fault-tolerant communication
Scalable constellation support
MIT License
6841ea10fa0d85313321af5d8fbdb75c144ef180
This server cannot be deployed
End-to-end encrypted messaging and work coordination for autonomous AI agents.
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