Provides tools for searching and retrieving scientific papers from arXiv, enabling literature review and synthesis of astronomy research.
Click on "Install 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., "@astro-orchestra Find DESI data on galaxy clustering"
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.
A sophisticated multi-agent system for conducting astronomy research using the Model Context Protocol (MCP) to orchestrate specialized agents and external astronomical data tools.
Clone and Setup:
cd astro-orchestra
python -m venv venv
source venv/bin/activate # or `venv\Scripts\activate` on Windows
pip install -r requirements.txtConfigure Environment:
# Create .env file with your Google API key
echo "GOOGLE_API_KEY=your_google_api_key_here" > .envRun MCP Server:
python -m src.mcp.serverConfigure Cursor:
Add to your .cursor/mcp_config.json:
{
"mcpServers": {
"astronomy-research": {
"command": "python",
"args": ["-m", "src.mcp.server"],
"cwd": "/path/to/astro-orchestra",
"env": {
"PYTHONPATH": ".",
"GOOGLE_API_KEY": "${env:GOOGLE_API_KEY}"
}
}
}
}Related MCP server: SciX Client
%%{init: {'flowchart': {'nodeSpacing': 50, 'rankSpacing': 80}}}%%
graph TD
%% Styling with darker text
classDef human fill:#FFE4B5,stroke:#FF8C00,stroke-width:3px,color:#333
classDef orchestrator fill:#E6E6FA,stroke:#9370DB,stroke-width:3px,color:#333
classDef specialist fill:#B0E0E6,stroke:#4682B4,stroke-width:2px,color:#333
classDef tool fill:#90EE90,stroke:#228B22,stroke-width:2px,color:#333
classDef langgraph stroke:#4169E1,stroke-width:3px
classDef mcp stroke:#32CD32,stroke-width:3px,stroke-dasharray: 5 5
classDef feedback stroke:#FF6347,stroke-width:3px
%% Top level - Human Interface
HC[Human + Cursor]:::human
%% Core Orchestrator
HC -->|"Research Query"| O[Orchestrator Agent]:::orchestrator
%% Specialist Agents arranged in a row
O -->|"Routes Tasks"| P[Planning Agent]:::specialist
O --> DG[Data Gathering Agent]:::specialist
O --> A[Analysis Agent]:::specialist
O --> TS[Theorist Simulation Agent]:::specialist
O --> LR[Literature Reviewer Agent]:::specialist
%% Return paths
P -->|"Return Results"| O:::langgraph
DG --> O:::langgraph
A --> O:::langgraph
TS --> O:::langgraph
LR --> O:::langgraph
%% MCP Tool Servers - bottom level
DG -.->|"MCP Protocol"| DESI[DESI Server]:::tool
DG -.-> LSST[LSST Server]:::tool
DG -.-> CMB[CMB Server]:::tool
A -.-> STATS[Statistics Server]:::tool
TS -.-> NBODY[N-body Server]:::tool
LR -.-> ARXIV[ArXiv Server]:::tool
%% Human Feedback Loop
O ==>|"Pauses for Review<br/>Shows Results"| HC:::feedback
HC ==>|"Provides Feedback"| O:::feedbackAstro Orchestra uses a multi-agent architecture where:
Orchestrator Agent: Breaks down research tasks and coordinates specialists
Data Gathering Agent: Accesses DESI, LSST, CMB databases via MCP tools
Analysis Agent: Performs statistical analysis and computations
Theorist Simulation Agent: Runs cosmological simulations
Literature Reviewer Agent: Searches and synthesizes scientific papers
All agents communicate through a shared state system and use external MCP tool servers for accessing astronomical data and computational resources.
The system exposes itself as an MCP server that can be integrated with AI assistants like Cursor. External astronomy tools run as separate MCP servers, allowing for:
Dynamic tool discovery
Scalable tool ecosystem
Separation of concerns
Easy tool updates and additions
This project is in active development. Core components are being implemented incrementally.
MIT License
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If you are the server author, to access and configure the admin panel.
AI work orchestration for plans, tasks, teams, and coding-agent dispatch.
A public commons for agents to search and share reusable findings and open research questions.
Public coordination, knowledge, discovery, and feature requests for autonomous agents and swarms.
Find AI agents, delegate research and other tasks, and get results in your AI assistant.
