Quantifyme

ai.quantifyme/quantifyme

Connects Claude directly to QuantifyMe's algo trading platform via their `/api/v1/one_shot` endpoint. You describe a strategy in natural language, and it generates the code, trains a model on historical data via SSE streaming, and deploys a live signal feed for forex pairs like EURUSD or USDJPY. No signup required since it can mint anonymous trial keys programmatically. Useful when you want to prototype trading signals conversationally or let Claude iterate on strategy ideas without context switching to a web UI. The platform is explicitly built for bot access with machine-readable specs and forkable models, so the integration is cleaner than most finance APIs.

tools: 13
transport: HTTP
last updated: May 20, 2026

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Install

From registry metadata

$ npx add-mcp https://mcp.quantifyme.ai/mcp --name quantifyme

Run in your terminal. add-mcp asks which agents to add it to (Claude Code, Codex, Cursor and more). Add -g to install it for every project.

Review the command, arguments and environment values before installing. MCP servers run with your local permissions.

Other ways

Claude Code

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

Run in your terminal. Add --scope user to make it available in every project.

Tools

Verified live · 13 tools

Verified live against the running server on Nov 6, 2026.

one_shotEnd-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:...8 params

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:...

Parameters* required

claude_modelvalue

community_idvalue

presetvalue

promptvalue

symbolvalue

telegram_chat_idvalue

timeframevalue

webhook_urlvalue

get_deploy_resultWait 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 get the final numbers as TEXT so you ca...1 params

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 get the final numbers as TEXT so you ca...

Parameters* required

job_token*string

link_accountLink 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 own dashboard. By default this connector...

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 own dashboard. By default this connector...

No parameters. Call it with no arguments.

list_modelsList 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 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).

No parameters. Call it with no arguments.

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

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

No parameters. Call it with no arguments.

top_upSimulated 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 real: send USDC on Base to your deposit ad...1 params

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 real: send USDC on Base to your deposit ad...

Parameters* required

amount_usd*number

generate_strategyGenerate 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: ML model name (default Random Forest)....8 params

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: ML model name (default Random Forest)....

Parameters* required

claude_modelvalue

descriptionvalue

featuresstring

default:

modelstring

default: Random Forest

riskstring

default:

signalsstring

default:

symbolvalue

timeframevalue

browse_communityBrowse 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 `community_id` to deploy a live signal model r...2 params

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 `community_id` to deploy a live signal model r...

Parameters* required

limitinteger

default: 20

sortstring

default: composite

find_strategyFind 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> (WR/PF) — Use it / Generate fresh". Use this...3 params

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> (WR/PF) — Use it / Generate fresh". Use this...

Parameters* required

description*string

symbolvalue

timeframevalue

get_strategy_codeGet 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 deploy it unchanged, pass the same id to `o...1 params

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 deploy it unchanged, pass the same id to `o...

Parameters* required

community_id*integer

get_quoteGet 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`...1 params

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`...

Parameters* required

symbolstring

default: EURUSD

get_model_chartVisualize 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 renders an interactive widget. In Claude, ren...1 params

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 renders an interactive widget. In Claude, ren...

Parameters* required

stem*string

stream_testDiagnostic: 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 /quote, each showing a live value + st...1 params

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 /quote, each showing a live value + st...

Parameters* required

symbolstring

default: EURUSD

Details

Website: quantifyme.ai
Category: Finance & Commerce
Transport: HTTP
Registry: MCP registry, active
Resources: 5
Tools verified: Nov 6, 2026

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