Robinhood MCP Server
Provides a comprehensive interface to the Robinhood Crypto API for account management, market data retrieval, and trading operations via REST and WebSocket.
README
Robinhood MCP Server - User Guide
Overview
The Robinhood MCP Server provides a comprehensive interface to the Robinhood Crypto API. This server handles authentication, account management, market data retrieval, and trading operations through both REST API and WebSocket interfaces.
Table of Contents
- Features
- Prerequisites
- Installation
- Configuration
- Running the Server
- API Documentation
- Testing
- Development
- Security
- Troubleshooting
- License
- Disclaimer
Features
- REST API for account management and trading operations
- WebSocket support for real-time market data and order updates
- Comprehensive error handling and logging
- Rate limiting and security best practices
- Easy configuration via environment variables
Prerequisites
- Python 3.8 or higher
- pip (Python package manager)
- Robinhood API credentials
Installation
-
Clone the repository:
git clone https://github.com/rohitsingh-iitd/robinhood-mcp-server cd robinhood-mcp-server -
Set up a virtual environment (recommended):
# Create a virtual environment python -m venv venv # Activate the virtual environment # On macOS/Linux: source venv/bin/activate # On Windows: # .\venv\Scripts\activate -
Install dependencies:
pip install -r requirements.txt
Configuration
-
Create a
.envfile in the project root with the following content:# Required ROBINHOOD_API_KEY=your_api_key_here ROBINHOOD_PRIVATE_KEY=your_base64_encoded_private_key_here # Optional (with defaults) HOST=0.0.0.0 PORT=8000 WEBSOCKET_PORT=8001 DEBUG=False LOG_LEVEL=INFO LOG_FILE=robinhood_mcp_server.log RATE_LIMIT_ENABLED=True RATE_LIMIT_REQUESTS=100 RATE_LIMIT_PERIOD=60 -
Replace the placeholder values with your actual Robinhood API credentials.
Running the Server
Start the server with the following command:
python -m src.main
This will start:
- REST API server at
http://localhost:8000 - WebSocket server at
ws://localhost:8001
Running in Production
For production use, consider using a production-grade ASGI server like Uvicorn with Gunicorn:
pip install gunicorn uvicorn[standard]
gunicorn src.main:app --worker-class uvicorn.workers.UvicornWorker --bind 0.0.0.0:8000
Running the Server
Start the server with the following command:
python -m src.main
This will start both the REST API server (default port 8000) and the WebSocket server (default port 8001).
REST API Endpoints
Authentication
GET /auth/status- Check authentication status
Account
GET /account- Get account informationGET /account/holdings- Get account holdings (optional query param:asset_code)
Market Data
GET /market/best-price- Get best bid/ask price (optional query param:symbol)GET /market/estimated-price- Get estimated price for quantity (required query params:symbol,side,quantity)
Trading
GET /trading/pairs- Get available trading pairs (optional query param:symbol)GET /trading/orders- Get order history (optional query param:status)GET /trading/orders/{id}- Get order detailsPOST /trading/orders- Place a new order- Required fields:
symbol,side,quantity - Optional fields:
type,price,time_in_force,stop_price
- Required fields:
DELETE /trading/orders/{id}- Cancel an order
WebSocket API
The WebSocket server provides real-time updates for market data and order status.
Connection
Connect to the WebSocket server at:
ws://localhost:8001
Market Data Subscription
Subscribe to market data updates:
{
"type": "market_data",
"action": "subscribe",
"symbols": ["BTC-USD", "ETH-USD"]
}
Unsubscribe from market data updates:
{
"type": "market_data",
"action": "unsubscribe",
"symbols": ["BTC-USD", "ETH-USD"]
}
Order Updates Subscription
Subscribe to order updates:
{
"type": "orders",
"action": "subscribe"
}
Unsubscribe from order updates:
{
"type": "orders",
"action": "unsubscribe"
}
Ping/Pong
Send a ping to keep the connection alive:
{
"type": "ping"
}
The server will respond with:
{
"type": "pong"
}
Testing
Run the validation tests to ensure the server is working correctly:
python -m tests.test_server
Configuration Options
The following environment variables can be configured in the .env file:
ROBINHOOD_API_KEY- Your Robinhood API keyROBINHOOD_PRIVATE_KEY- Your base64-encoded private keyHOST- Server host (default: 0.0.0.0)PORT- REST API server port (default: 8000)DEBUG- Enable debug mode (default: False)LOG_LEVEL- Logging level (default: INFO)LOG_FILE- Log file path (default: robinhood_mcp_server.log)RATE_LIMIT_ENABLED- Enable rate limiting (default: True)RATE_LIMIT_REQUESTS- Maximum requests per period (default: 100)RATE_LIMIT_PERIOD- Rate limit period in seconds (default: 60)
Security Considerations
- API keys and secrets are stored in environment variables, never in code
- All sensitive data is properly handled
- Input validation is implemented for all API endpoints
- Rate limiting is enforced to prevent abuse
- Proper error handling to avoid leaking sensitive information
Troubleshooting
If you encounter issues:
- Check the log file for detailed error messages
- Verify your API credentials are correct
- Ensure you have proper network connectivity
- Check that the Robinhood API is available
License
This project is licensed under the MIT License - see the LICENSE file for details.
Disclaimer
The author is not responsible for any loss or damage that may occur as a result of using this project.
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.
