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100
MCP live v1.0.0 MCP 2025-11-25 streamable-http

ai.quantifyme/quantifyme

ai.quantifyme/quantifyme

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

Uptime
100.0%
5 direct probes · 30d
Response
966ms
last probe
Tools
13
callable
Resources
5
readable
Prompts
0
available
Primary URL
https://mcp.quantifyme.ai/mcp
Score: 100/100
Handshake verified by our own probe.
why this score
pass Answers the MCP handshake 50/50
The handshake and the list calls succeeded on the primary URL.
pass Lists tools, resources or prompts 30/30
13 tools, 5 resources, 0 prompts returned.
pass 3 or more catalogue items 10/10
18 items in total; 3 or more earns these points.
pass Describes itself 10/10
99 characters; more than 30 earns these points.

Tools · 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 req…

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 …

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 wa…

list_models

List the user's trained models with pre-computed train/test stats.

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 …

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 descript…

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 strate…

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 land…

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()` sour…

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 platf…

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 a…

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…

Resources · 5

qm-oneshot

A live-deployed QuantifyMe model: live progress, then backtest chart (candles + buy/sell arrows + trades) + a one-click live link.

ui://widget/qm-oneshot-v14.html
qm-community

Top community trading strategies, each with a one-click copy-and-deploy.

ui://widget/qm-community-v3.html
qm-deployed

The user's currently deployed live models and their delivery channels.

ui://widget/qm-deployed-v2.html
qm-chart

A model's backtest: interactive price chart with buy/sell arrows + trade log + win-rate/profit-factor stats.

ui://widget/qm-chart-v20.html
qm-livetest

Diagnostic panels that test live data streaming (timer / WebSocket / poll) inside this client.

ui://widget/qm-livetest-v4.html

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "ai.quantifyme/quantifyme": {
      "url": "https://mcp.quantifyme.ai/mcp",
      "transport": "streamable-http"
    }
  }
}