VIYAN MCP
Enables autonomous satellite agents to communicate and coordinate for orbital operations such as collision avoidance, maneuver planning, and mission execution.
README
<<<<<<< HEAD
NitroStack Starter Template
Minimal template for learning NitroStack fundamentals with a calculator-focused MCP server and basic widgets.
What This Template Includes
calculatormodule with tools, resources, and prompts- TypeScript + Zod validation setup
- Widget-ready project structure
- Production-friendly npm scripts
Quick Start
npx @nitrostack/cli init my-server --template typescript-starter
cd my-server
npm run dev
Common Commands
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:
git clone https://github.com/<your-username>/viyan-mcp.git
cd viyan-mcp
Install dependencies:
pip install -r requirements.txt
Run the MCP server:
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
6841ea10fa0d85313321af5d8fbdb75c144ef180
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.