Quantifyme is an MCP server with 13 tools an agent can call, among them browse_community, find_strategy, generate_strategy. It answers at https://mcp.quantifyme.ai/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 4 September 2026; the last check, on 17 October 2026, succeeded.
Describe a trading strategy in plain English and deploy a live signal model in one call. No signup.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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 `communit Inputs: limit, sort |
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> (WR/PF) Inputs: description, symbol, timeframe |
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: ML Inputs: features, signals, model, risk, description, symbol |
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 ge Inputs: job_token |
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 renders Inputs: stem |
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 marke Inputs: symbol |
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 deploy Inputs: community_id |
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 own |
list_deployed | List the user's currently deployed (live) models. |
list_models | List the user's trained models with pre-computed train/test stats. |
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 Inputs: prompt, symbol, timeframe, claude_model, preset, community_id |
stream_test | Diagnostic: test whether LIVE data streaming works in this client. Renders a widget with three panels — a JS timer (baseline), a WebSocket to the live price feed, and an HTTP poll of /quote — each showing a live value + status, so you can s Inputs: symbol |
top_up | Fund your QuantifyMe credits with crypto (USDC) — no signup, no human, no card. The agent-native funding rail. SIMULATED in this build (no real charge) and capped at $100 for the POC. Returns your new credit balance. Inputs: amount_usd |
Every block below points at https://mcp.quantifyme.ai/mcp. Pick your client and copy.
claude mcp add --transport http quantifyme https://mcp.quantifyme.ai/mcp
{
"mcpServers": {
"quantifyme": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.quantifyme.ai/mcp"]
}
}
}{
"mcpServers": {
"quantifyme": {
"url": "https://mcp.quantifyme.ai/mcp"
}
}
}{
"servers": {
"quantifyme": {
"type": "http",
"url": "https://mcp.quantifyme.ai/mcp"
}
}
}{
"context_servers": {
"quantifyme": {
"url": "https://mcp.quantifyme.ai/mcp"
}
}
}{
"mcpServers": {
"quantifyme": {
"serverUrl": "https://mcp.quantifyme.ai/mcp"
}
}
}{
"mcpServers": {
"quantifyme": {
"url": "https://mcp.quantifyme.ai/mcp"
}
}
}name: Quantifyme
version: 0.0.1
schema: v1
mcpServers:
- name: Quantifyme
type: streamable-http
url: https://mcp.quantifyme.ai/mcp{
"mcpServers": {
"quantifyme": {
"httpUrl": "https://mcp.quantifyme.ai/mcp"
}
}
}{
"mcpServers": {
"quantifyme": {
"type": "http",
"url": "https://mcp.quantifyme.ai/mcp"
}
}
}{
"mcpServers": {
"quantifyme": {
"url": "https://mcp.quantifyme.ai/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fmcp.quantifyme.ai%2Fmcp&type=streamable_http&id=quantifyme&name=Quantifyme
It answered our last check on 17 October 2026 in 303 ms. Over 10 checks since 4 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by quantifyme.ai and served from mcp.quantifyme.ai, the vendor's own domain: https://mcp.quantifyme.ai/mcp.
13, as returned by the server's own tools/list on 8 September 2026: browse_community, find_strategy, generate_strategy, get_deploy_result, get_model_chart, get_quote, get_strategy_code, link_account, and 5 more.
It answered our last check on 17 October 2026 in 303 ms. Over 10 checks since 4 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://mcp.quantifyme.ai/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: ai.quantifyme. Endpoint host: mcp.quantifyme.ai. ARD identifier: urn:air:ai.quantifyme:mcp:quantifyme.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.