MCP server for QuantData options market data — GEX/DEX/CEX/VEX walls, net drift, max pain, IV rank, and more
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"quantdata-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# QuantData MCP Server [](LICENSE) [](https://www.python.org/downloads/) [](https://pypi.org/project/quantdata-mcp/) [](https://pypi.org/project/quantdata-mcp/) ## THIS IS AN UNOFFICIAL MCP SERVER I AM NOT AFFILIATED WITH QUANTDATA IN ANY WAY MCP server that gives AI agents (Claude Code, Claude Desktop, etc.) access to real-time and historical options market data from [QuantData](https://quantdata.us). > 📖 New to this? Start with the [Getting Started Guide](GETTING_STARTED.md) for a step-by-step walkthrough. **Supports any optionable ticker** — SPX, SPY, QQQ, AAPL, TSLA, and more. Not just 0DTE. **Available data:** GEX/DEX/CEX/VEX exposure walls, exposure term structure, net drift, max pain (instantaneous + per-expiration), IV rank, IV skew, IV term structure, volatility drift (ARV vs IV), trade side statistics, open interest (per strike, per expiration, over time, day-over-day change), net flow, consolidated + unconsolidated order flow, contract OHLCV, and contract statistics. **Documentation:** see [GETTING_STARTED.md](GETTING_STARTED.md) for a click-by-click walkthrough. ## Quick Start ### 1. Install You need **Python 3.11+** installed. Check with `python3 --version`. - **Mac:** `brew install python` (or download from [python.org](https://www.python.org/downloads/)) - **Windows:** Download from [python.org](https://www.python.org/downloads/) (check "Add to PATH" during install) Install from PyPI: ```bash # With pip pip install quantdata-mcp # With uv (faster) uv pip install quantdata-mcp # Or install as a global tool with uv uv tool install quantdata-mcp ``` > **Don't have uv?** Install it with `curl -LsSf https://astral.sh/uv/install.sh | sh` (Mac/Linux) or `irm https://astral.sh/u…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.