QuantDataForge MCP servers — StrategyCreator + Open Cockpit, run locally via uvx with one API token.
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# qdf-mcp Two MCP servers that let a [QuantDataForge](https://quantdataforge.com) subscriber drive the platform from their own Claude Code / Claude Desktop: - **`qdf-mcp-strategy`** — *StrategyCreator*: author trading strategies in Python, backtest them against QDF's 5-year 1-minute futures history (ES, NQ), and read the metrics + equity curve back — all in your Claude session. - **`qdf-mcp-cockpit`** — *Open Cockpit*: a live, read-only window into the open — which levels are armed, how each is defended tick-by-tick, plus market-state, options and catalyst reads. Both are thin HTTPS clients. All the heavy lifting (data, backtest engine, sandbox) runs on the QDF server. Each server scopes everything to **your personal API token**. ## Setup ### 1. Install `uv` (one time) `uvx` runs the servers in an isolated environment and pulls all dependencies automatically — **you do not need to install any Python packages by hand.** - **Windows:** `powershell -ExecutionPolicy Bypass -c "irm https://astral.sh/uv/install.ps1 | iex"` - **macOS / Linux:** `curl -LsSf https://astral.sh/uv/install.sh | sh` (Or `pip install uv` if you already have Python.) ### 2. Get your token On the website, open **Strategy Lab → API Tokens**, click **Generate**, and copy the `qdf_sk_…` token (shown once). **The same token works for both servers.** ### 3. Add the servers to your Claude config Paste this into your MCP client config — Claude Desktop's `claude_desktop_config.json`, or a project `.mcp.json` for Claude Code — with your token in both places: ```json { "mcpServers": { "strategy-creator": { "command": "uvx", "args": ["--from", "qdf-mcp", "qdf-mcp-strategy"], "env": { "QDF_API_TOKEN": "qdf_sk_…your token…", "QDF_API_URL": "https://quantdataforge.com" } }, "qdf-cockpit": { "command": "uvx", "args": ["--from", "qdf-mcp", "qdf-mcp-cockpit"], "env": { "QDF_API_BASE": "https://quantdataforge.com", …
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