quantflow
mcp
Pass
Health Pass
- License — License: BSD-3-Clause
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Community trust — 25 GitHub stars
Code Pass
- Code scan — Scanned 12 files during light audit, no dangerous patterns found
Permissions Pass
- Permissions — No dangerous permissions requested
Purpose
This is a Model Context Protocol (MCP) server built in Python designed for quantitative finance and derivative pricing. It provides financial computation capabilities to integrated AI models and development environments.
Security Assessment
Overall risk: Low. The automated code scan reviewed 12 files and found no dangerous patterns or hardcoded secrets. The tool requests no dangerous system permissions, reducing the risk of privilege escalation. While specific network behaviors and shell executions cannot be verified due to the absence of a README, the clean code scan indicates a low likelihood of unauthorized sensitive data access, malicious background payloads, or intrusive tracking.
Quality Assessment
The project demonstrates solid maintenance and baseline community trust. It is highly active, with the most recent code push occurring just today. The repository is legally clear for integration and modification thanks to the standard, permissive BSD-3-Clause license. Furthermore, it has garnered 25 GitHub stars, showing a small but genuine footprint among users.
Verdict
Safe to use.
This is a Model Context Protocol (MCP) server built in Python designed for quantitative finance and derivative pricing. It provides financial computation capabilities to integrated AI models and development environments.
Security Assessment
Overall risk: Low. The automated code scan reviewed 12 files and found no dangerous patterns or hardcoded secrets. The tool requests no dangerous system permissions, reducing the risk of privilege escalation. While specific network behaviors and shell executions cannot be verified due to the absence of a README, the clean code scan indicates a low likelihood of unauthorized sensitive data access, malicious background payloads, or intrusive tracking.
Quality Assessment
The project demonstrates solid maintenance and baseline community trust. It is highly active, with the most recent code push occurring just today. The repository is legally clear for integration and modification thanks to the standard, permissive BSD-3-Clause license. Furthermore, it has garnered 25 GitHub stars, showing a small but genuine footprint among users.
Verdict
Safe to use.
Quantitative finance and derivative pricing
README.md
Quantitative analysis and pricing tools.
Installation
pip install quantflow
Modules
- quantflow.ai MCP server for AI clients (requires
quantflow[ai,data]) - quantflow.data data APIs (requires
quantflow[data]) - quantflow.options option pricing and calibration
- quantflow.sp stochastic process primitives
- quantflow.ta timeseries analysis tools
- quantflow.utils utilities and helpers
Optional dependencies
data— data retrieval:pip install quantflow[data]ai— MCP server for AI clients:pip install quantflow[ai,data]
MCP Server
Quantflow exposes its data tools as an MCP server, allowing AI clients such as Claude to query market data, crypto volatility surfaces, and economic indicators directly.
Install with the ai and data extras:
pip install quantflow[ai,data]
API keys
Store your API keys in ~/.quantflow/.vault:
fmp=your-fmp-key
fred=your-fred-key
Or let the AI manage them for you via the vault_add tool once connected.
Claude Code
claude mcp add quantflow -- uv run qf-mcp
Claude Desktop
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"quantflow": {
"command": "uv",
"args": ["run", "qf-mcp"]
}
}
}
Available tools
| Tool | Description |
|---|---|
vault_keys |
List stored API keys |
vault_add |
Add or update an API key |
vault_delete |
Delete an API key |
stock_indices |
List stock market indices |
stock_search |
Search companies by name or symbol |
stock_profile |
Get company profile |
stock_prices |
Get OHLC price history |
sector_performance |
Sector performance and PE ratios |
crypto_instruments |
List Deribit instruments |
crypto_historical_volatility |
Historical volatility from Deribit |
crypto_term_structure |
Volatility term structure |
crypto_implied_volatility |
Implied volatility surface |
crypto_prices |
Crypto OHLC price history |
ascii_chart |
ASCII chart for any stock or crypto symbol |
fred_subcategories |
Browse FRED categories |
fred_series |
List series in a FRED category |
fred_data |
Fetch FRED observations |
Reviews (0)
Sign in to leave a review.
Leave a reviewNo results found