Claude MCP server for QuantifyMe — deploy trading strategies from natural language.
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# quantifyme-mcp Claude MCP server for [QuantifyMe](https://quantifyme.ai) — deploy algorithmic trading strategies from natural language. ## Install ```bash # Recommended — isolates the install, no Python version fiddling pipx install quantifyme-mcp claude mcp add quantifyme quantifyme-mcp ``` Or with [uvx](https://docs.astral.sh/uv/) (no install): ```bash claude mcp add quantifyme uvx quantifyme-mcp ``` Or plain `pip` if your default Python is 3.10+: ```bash pip install quantifyme-mcp claude mcp add quantifyme quantifyme-mcp ``` ## Use in Claude Once registered, ask Claude: > Deploy a strategy that buys EURUSD when RSI hits 30 and sells when it hits 70. Claude will call the `one_shot` tool, which generates the strategy code, trains a model on 28 days of OHLC data, and deploys it live. You get a webhook/Telegram-ready URL back. ## Environment - `QUANTIFYME_API_KEY` — your personal key (optional; anonymous trial key auto-created if unset) - `QUANTIFYME_BASE_URL` — override API base (default `https://api.quantifyme.ai`) ## Tools exposed | Tool | Purpose | |---|---| | `one_shot` | Prompt → generate → train → deploy → live signal URL | | `list_models` | User's trained models with train/test stats | | `list_deployed` | Currently live models | | `get_trial_key` | Anonymous trial key (50 credits, no signup) | | `generate_strategy` | Code-only generation (no training) | ## License MIT
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