StockFlow
Provides real-time stock data and options analysis from Yahoo Finance, enabling market data access, stock analysis, and options strategy evaluation.
StockFlow MCP Server
A Model Context Protocol (MCP) server providing real-time stock data and options analysis through Yahoo Finance. Enables LLMs to access market data, analyze stocks, and evaluate options strategies.
Features
Stock Data
- Real-time stock prices and key metrics
- Historical price data with OHLC values
- Company fundamentals and financial statements
- Market indicators and ratios
Options Analysis
- Complete options chain data
- Greeks (delta, gamma, theta, vega)
- Volume and open interest tracking
- Options strategy analysis
Installation
# Install dependencies
pip install mcp yfinance
# Clone the repository
git clone https://github.com/twolven/stockflow
cd stockflow
Usage
- Clone the repository:
git clone https://github.com/twolven/mcp-stockflow.git
cd mcp-stockflow
- Install dependencies:
pip install -r requirements.txt
- Add to your Claude configuration:
In your
claude-desktop-config.json, add the following to themcpServerssection:
{
"mcpServers": {
"stockflow": {
"command": "python",
"args": ["path/to/stockflow.py"]
}
}
}
Replace "path/to/stockflow.py" with the full path to where you saved the stockflow.py file.
Usage Prompt for Claude
When working with Claude, you can use this prompt to help it understand the available tools:
"I've enabled the stockflow tools which give you access to stock market data. You can use these three main functions:
get_stock_data- Get comprehensive stock info:
{
"symbol": "AAPL",
"include_financials": true, # optional
"include_analysis": true, # optional
"include_calendar": true # optional
}
get_historical_data- Get price history and technical indicators:
{
"symbol": "AAPL",
"period": "1y", # 1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, 10y, ytd, max
"interval": "1d", # 1m, 2m, 5m, 15m, 30m, 60m, 90m, 1h, 1d, 5d, 1wk, 1mo, 3mo
"prepost": false # optional - include pre/post market data
}
get_options_chain- Get options data:
{
"symbol": "AAPL",
"expiration_date": "2024-12-20", # optional - uses nearest date if not specified
"include_greeks": true # optional
}
All responses include current price data, error handling, and comprehensive market information."
Running the Server
python stockflow.py
Using with MCP Client
from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client
server_params = StdioServerParameters(
command="python",
args=["stockflow.py"]
)
async def run():
async with stdio_client(server_params) as (read, write):
async with ClientSession(read, write) as session:
await session.initialize()
# Get current stock data
result = await session.call_tool(
"get-stock-data",
arguments={"symbol": "AAPL"}
)
# Get options chain
options = await session.call_tool(
"get-options-chain",
arguments={
"symbol": "AAPL",
"expiration_date": "2024-12-20"
}
)
if __name__ == "__main__":
import asyncio
asyncio.run(run())
Available Tools
-
get-stock-data- Current price and volume
- Market cap and P/E ratio
- 52-week high/low
-
get-historical-data- OHLC prices
- Configurable time periods
- Volume data
-
get-options-chain- Calls and puts
- Strike prices
- Greeks and IV
- Volume and open interest
Available Resources
-
company-info://{symbol}- Company description
- Sector and industry
- Employee count
- Website
-
financials://{symbol}- Income statement
- Balance sheet
- Cash flow statement
Prompts
analyze-options- Options strategy analysis
- Risk/reward evaluation
- Market condition assessment
Requirements
- Python 3.12+
- mcp
- yfinance
Limitations
- Data is sourced from Yahoo Finance and may have delays
- Options data availability depends on market hours
- Rate limits apply based on Yahoo Finance API restrictions
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Author
Todd Wolven - (https://github.com/twolven)
Acknowledgments
Acknowledgments
- Built with the Model Context Protocol (MCP) by Anthropic
- Data provided by Yahoo Finance
- Developed for use with Anthropic's Claude
Verwandte Server
Quanti: connectors MCP
Unify your marketing team around one AI-powered source of truth. Quanti connects your marketing data to your warehouse. Execute SQL queries on BigQuery, explore table schemas, discover pre-built use cases, and analyze performance across Google Analytics, Google Ads, Meta Ads, TikTok, affiliate networks and more. all through natural conversation
Elasticsearch
Manage Elasticsearch indices and execute queries using LLMs.
Space Frontiers
Interfaces with the Space Frontiers API, enabling language models to interact with its data sources.
Go MCP Postgres
A standalone MCP server for interacting with PostgreSQL databases. It supports CRUD operations, a read-only mode, and query plan checking.
CData Zoho Books
A read-only MCP server by CData for querying live data from Zoho Books. Requires an external CData JDBC Driver.
Nimiq MCP Server
An MCP server for read-only interaction with the Nimiq blockchain.
CData Square Server
A read-only MCP server for querying live data from Square using the CData JDBC Driver.
OrionBelt Semantic Layer
API-first engine and MCP server that transforms declarative YAML model definitions into optimized SQL for Postgres, Snowflake, ClickHouse, Dremio, and Databricks
InfluxDB
A server for integrating with InfluxDB, a time-series database.
CData SAP Hybris C4C
A read-only MCP server for querying live SAP Hybris C4C data, powered by the CData JDBC Driver.