Quantifyme

Connect Remote server

claude mcp add --transport http quantifyme https://mcp.quantifyme.ai/mcp

{
  "mcpServers": {
    "quantifyme": {
      "url": "https://mcp.quantifyme.ai/mcp"
    }
  }
}

{
  "servers": {
    "quantifyme": {
      "type": "http",
      "url": "https://mcp.quantifyme.ai/mcp"
    }
  }
}

Settings > Connectors > Add custom connector
URL: https://mcp.quantifyme.ai/mcp

Tools 11 found in our last check

• one_shot

  End-to-end deploy: generate strategy → train → deploy live. One of `prompt` (free-form NL), `preset` (curated winning strategy), or `community_id` (copy a published community strategy) is required. If more than one is passed, precedence is community_id > preset > prompt. Args: p…

• get_deploy_result

  Wait for a `one_shot` deploy to finish and return its final result as text. Takes the job_token `one_shot` returned. Waits until the deploy finishes, up to about 2.5 minutes; past that it returns ok:false with pending:true, and a later call with the same token picks the same dep…

• link_account

  Link this chat to the user's existing QuantifyMe account. For a user who already has a QuantifyMe account, who wonders why their models are missing here, or who wants what they deploy here to show up in their own dashboard. By default this connector works with NO signup: it mint…

• list_models

  List the user's trained models with pre-computed train/test stats. `acting_as` names the identity listed: the linked account or a trial user (#1962).

• list_deployed

  List the user's currently deployed (live) models.

• generate_strategy

  Generate Python strategy code only: nothing is trained or deployed. Returns the generated code for the user to read or edit; each call is billed from the account's credits. Args: features: Plain-English description of features (e.g. "RSI 14, Bollinger Bands"). signals: Plain-Eng…

• browse_community

  Browse the public community leaderboard of published strategies, ranked by a composite performance score (best first). No signup or key needed. Each entry's `id` is what `one_shot` takes as `community_id` to deploy a live signal model running that exact strategy. Args: limit: Ho…

• find_strategy

  Find a published community strategy that matches a plain-English idea. Mirrors the quantifyme.ai landing page: "Found <X> by @<author> (WR/PF): use it, or generate fresh". It is for browsing; a vague deploy request is handled by one_shot(prompt=...) alone, which deploys the best…

• get_strategy_code

  Get the actual Python code behind a community leaderboard strategy. Takes an entry's `id` from `browse_community` or `find_strategy` and returns its real `feature_engineering()` + `strategy_config()` source, for the user to inspect or tweak. The same id passed to `one_shot` as `…

• get_quote

  Get the latest price for a G7 FX pair — a quick "what's it at now" check. Useful for context before deploying a strategy. The price is the close of the most recent 1-minute bar from the platform's market feed (not a raw live tick); FX markets close on weekends, so the `stale` fl…

• get_model_chart

  A trained model's backtest: trades, stats and the data for a cumulative-return chart. Takes a model's `stem` (from `get_deploy_result`, `one_shot` or `list_models`) and returns how it traded. In clients that render the openai/outputTemplate widget (ChatGPT) it shows an interacti…

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