quantflow

mcp
Security Audit
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.
SUMMARY

Quantitative finance and derivative pricing

README.md

PyPI version
Python versions
Python downloads
build
codecov

Quantitative analysis and pricing tools.

btcvol

Installation

pip install quantflow

Modules

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

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