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QuantifyMe MCP server

Which servers in the official MCP registry are QuantifyMe's own, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.

read 2026-10-13

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Whose server it is
  • Registry nameai.quantifyme/quantifymeverified in the MCP registry

The registry name sits under quantifyme.ai. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

When we asked itchecked 2026-10-13
  • Stateanswerschecked 2026-10-13
  • Tools13
  • Server calls itselfquantifyme
  • Server version0.1.0
  • Protocol version2025-06-18

On 2026-10-13 the server answered initialize and tools/list without a sign-in. First answer in 626 ms.

Tools it offers13 tools · read 2026-10-13
  • 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…

  • get_deploy_result

    Wait for a `one_shot` deploy to finish and return its final result. `one_shot` returns a job_token immediately and the LIVE CARD already streams progress and renders the interactive backtest chart itself. Call this ONCE with the token to…

  • link_account

    Link this chat to the user's existing QuantifyMe account. Call this when the user says they already have a QuantifyMe account, or asks why their models are missing / where a model went, or wants what they deploy here to show up in their…

  • 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.

  • top_up

    Simulated crypto top-up for a QuantifyMe DEV server only: no money moves, so it never makes an account paid and grants at most up to the free credit cap ($100 per call). quantifyme.ai refuses it (#1098) and answers with how to pay for…

  • generate_strategy

    Generate Python strategy code (no training/deploy). Use when the user wants raw code. Args: features: NL description of features (e.g. "RSI 14, Bollinger Bands"). signals: NL description of signal logic (e.g. "Buy when RSI < 30"). model…

  • browse_community

    Browse the public community leaderboard of published strategies, ranked by a composite performance score (best first). No signup or key needed. Copy-trade flow: call this to find a top strategy, then pass its `id` to `one_shot` as…

  • find_strategy

    Find an existing PROVEN strategy that matches a plain-English idea, so you can offer the user a choice — deploy the existing one, or generate a fresh custom one. Mirrors the quantifyme.ai landing experience: "Found <X> by @<author>…

  • get_strategy_code

    Get the actual Python code behind a community leaderboard strategy. Use after `browse_community`: pass an entry's `id` here to read its real `feature_engineering()` + `strategy_config()` source so the user can inspect or tweak it. To…

  • 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…

  • get_model_chart

    Visualize a trained model's backtest — a cumulative-return chart + trade log + stats. Use after `one_shot` / `list_models` with the model's `stem` to SHOW the user how it traded (the "is it actually any good" view). In ChatGPT this…

  • stream_test

    Diagnostic: test whether LIVE data streaming works in this client. Renders a widget with three panels: a JS timer (baseline), the WebSocket panel (not offered: the feed needs a credential and none is sent to a widget), and an HTTP poll of…

How to connect

Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:

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

OpenAPI spec

39 paths, read 2026-10-13. Open the spec ↗

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.