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ai.quantifyme/quantifyme

MCP serverVerified domain · quantifyme.aiRemote● LiveFree to try

Describe a trading strategy in plain English and deploy a live signal model in one call. No signup.

Install

Remote server: your requests and data go to mcp.quantifyme.ai. Claude Code: claude mcp add --transport http quantifyme https://mcp.quantifyme.ai/mcp · Claude app: Settings → Connectors → Add custom connector.

What it can do

The tools this server listed when we connected to it, in its own words.

  • one_shot — End-to-end deploy: generate strategy → train → deploy live. One of `prompt` (free-form NL), `preset` (curated winning strategy), or `communi
  • 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
  • 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
  • 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
  • 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 bi
  • browse_community — Browse the public community leaderboard of published strategies, ranked by a composite performance score (best first). No signup or key need
  • find_strategy — Find a published community strategy that matches a plain-English idea. Mirrors the quantifyme.ai landing page: "Found <X> by @<author> (WR/P
  • 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 ret
  • 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 c
  • 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

KitScout test notes

Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.

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