Quantustik is an MCP server with 26 tools an agent can call, among them explain_signal, fetch, get_correlation_map. It answers at https://quantustik.com/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 6 of 6 times since 11 September 2026; the last check, on 23 October 2026, succeeded.
Live S&P 500 quantum-model signals, forecasts and trade plans. Educational, not financial advice.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
explain_signal | Explain WHY a ticker has its current verdict — the factor attribution behind it. get_signal gives the verdict; get_trade_plan gives the execution; explain_signal gives the *reasoning*. It decomposes the quantum signal into the individual fa Inputs: ticker |
fetch | Fetch the full Quantustik signal + forecast writeup for one ticker. Paired with search — call search(query) first to find the ticker's id, then fetch(id) here for the full readable content. Also accepts a bare ticker symbol typed directly ( Inputs: id |
get_correlation_map | Get the cross-ticker ENTANGLEMENT map — which S&P 500 names the quantum model expects to co-move. "Entanglement" here is the Pearson correlation of the quantum model's own FORECAST return paths (mode="forecast", the default) — a forward-loo Inputs: ticker, top_n, horizon, mode, basis |
get_earnings_calendar | Get the earnings calendar (next + last report) for one S&P 500 ticker. Earnings are a scheduled volatility event. A swing entry held into a print carries gap risk that no stop can protect against — the price can jump the stop overnight. Thi Inputs: ticker |
get_fear_greed | Get the latest Fear and Greed index value. Sourced from the CNN Fear and Greed model, cached and refreshed periodically. Values range 0 (Extreme Fear) to 100 (Extreme Greed). Read it alongside get_market_regime, which exposes both gauges: h |
get_filing_language_diff | Get the "Lazy Prices" 10-K/10-Q language diff for one ticker. Compares the two most recent 10-K (year-over-year, default) or 10-Q (quarter-over-quarter) filings' Risk Factors (Item 1A) and MD&A (Item 7 for 10-K, Item 2 for 10-Q) sections, p Inputs: ticker, form |
get_filings_digest | Get SEC 8-K event digest — per-ticker detail or a site-wide recent feed. New EDGAR ingestion (unlike get_insider_pulse's Form 4 data, which was already ingested): polls 8-K filings and pre-chews each one so you don't have to parse raw filin Inputs: ticker |
get_forecast | Get quantum probability forecasts across multiple time horizons for a ticker. Delivers calibrated probability distributions from the Feynman path-integral model: prob_up, expected growth %, downside %, and 90% confidence interval (ci_low / Inputs: ticker, horizon |
get_insider_pulse | Get SEC Form 4 insider-trading activity — per-ticker detail or S&P 500 screener. Surfaces already-ingested Form 4 filings (the same Form 4 feed behind the market model's `form4` stage) pre-chewed into analytical context so you don't have to Inputs: ticker |
get_institutional_activity | Get 13F whale summaries + SC 13D/G activist alerts for one ticker. Final slice of the SEC EDGAR AI-digest layer. Two surfaces in one payload: `whale_summary` — QoQ (quarter-over-quarter) change in institutional ownership across a curated ~5 Inputs: ticker |
get_market_indicators | Get every market indicator we compute, in plain English, with its contribution. This is the full, dry state of the market: all 18 weighted signals the model composes — breadth, institutional flow, insider clusters, Fear & Greed, VIX, credit |
get_market_overview | Get the whole dashboard market picture in ONE call — the composed snapshot. This is the single-call twin of the market dashboard. The dashboard's market view stitches several readings into one coherent picture; an answer engine that had to |
get_market_regime | Get the current MARKET CONDITIONS for the S&P 500 — ONE metric, not three. This tool (named `get_market_regime` for backward compatibility) returns a single customer-facing metric called **Market Conditions**. Present it as ONE thing. It is |
get_risk_state | Get the S&P 500 RISK STATE — a measurement of market risk, not a forecast. THIS TOOL DOES NOT PREDICT ANYTHING. It reports what has already happened and what one published rule holds as a result. Say "measures" and "holds", never "expects" |
get_risk_state_evidence | Get the committed 32-year run behind every published Risk State figure. SIMULATED RESULTS, NEVER A LIVE TRACK RECORD. The rule was designed with hindsight over this same history and has never been run forward. Say so whenever you quote a nu |
get_signal | Get the latest quantum swing signal for a single S&P 500 ticker. Returns TWO distinct facets — they answer different questions and are not interchangeable: * `verdict` (BUY | WAIT | EXIT, labelled BULLISH / NEUTRAL / BEARISH) — what the mod Inputs: ticker |
get_signal_history | Get historical signal events for a ticker. Events include: new_buy, tp_hit (the price actually reached a profit target we named), trail_stop_hit (the trailing stop closed the trade short of the target — may be a gain or a loss), stop_hit, p Inputs: ticker, limit |
get_signals_batch | Get signals (or trade plans) for many S&P 500 tickers in ONE call. Built for portfolio / watchlist sweeps: a research agent analysing 10–30 names should fan out once here instead of N separate get_signal / get_trade_plan round-trips (N quot Inputs: tickers, plan |
get_started | Onboard to the Quantustik API/MCP: anonymous access and quotas. No API key is needed — every tool is callable right now under an anonymous per-IP hourly cap. Returns the live keyless/free-key request quotas (pulled live from server config) |
get_ticker_indicators | Get everything we compute about ONE stock, in plain English, with contributions. The per-ticker twin of `get_market_indicators`: the eight weighted components that make the conviction score (forecast direction, realistic downside, how well Inputs: ticker |
get_track_record | Get the realised track record: win-rate + R-multiple distribution. Aggregates actual closed outcomes (tp_hit, trail_stop_hit, stop_hit, position_closed) into an honest scorecard — win_rate, wins/losses, and the realised-R distribution (mean Inputs: ticker |
get_trade_plan | Get an execution-ready trade plan for one S&P 500 ticker — entry, exit, size, risk. This is the decision tool: it turns the raw quantum signal into a concrete, risk-first plan you can act on. Unlike get_signal (which reports the raw verdict Inputs: ticker |
list_capabilities | List all available Quantustik MCP tools and resources. Use this as the entry point when a user asks what can you do with Quantustik, or to discover the full surface area of the server. Returns a structured description of every tool and reso |
scan_universe | Scan the S&P 500 universe and return filtered signals. Pushes filters + pagination to the server (GET /signals): the REST API applies min_conviction/direction/sector and returns one page of size limit, so the LLM payload stays tight regardl Inputs: min_conviction, direction, sector, limit, cursor |
search | Search Quantustik for S&P 500 tickers by symbol or company name. Paired with fetch — this is the two-tool "search"/"fetch" convention ChatGPT connectors and deep-research clients expect from an MCP server: call search first to get lightweig Inputs: query |
top_opportunities | Get a small, risk-vetted shortlist of asymmetric setups passing every gate right now. This is NOT a screener. Where scan_universe returns up to 100 sortable rows, top_opportunities answers the real question — "what are the 1-3 highest-convi Inputs: max_results |
Every block below points at https://quantustik.com/mcp. Pick your client and copy.
claude mcp add --transport http quantustik https://quantustik.com/mcp
{
"mcpServers": {
"quantustik": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://quantustik.com/mcp"]
}
}
}{
"mcpServers": {
"quantustik": {
"url": "https://quantustik.com/mcp"
}
}
}{
"servers": {
"quantustik": {
"type": "http",
"url": "https://quantustik.com/mcp"
}
}
}{
"context_servers": {
"quantustik": {
"url": "https://quantustik.com/mcp"
}
}
}{
"mcpServers": {
"quantustik": {
"serverUrl": "https://quantustik.com/mcp"
}
}
}{
"mcpServers": {
"quantustik": {
"url": "https://quantustik.com/mcp"
}
}
}name: Quantustik
version: 0.0.1
schema: v1
mcpServers:
- name: Quantustik
type: streamable-http
url: https://quantustik.com/mcp{
"mcpServers": {
"quantustik": {
"httpUrl": "https://quantustik.com/mcp"
}
}
}{
"mcpServers": {
"quantustik": {
"type": "http",
"url": "https://quantustik.com/mcp"
}
}
}{
"mcpServers": {
"quantustik": {
"url": "https://quantustik.com/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fquantustik.com%2Fmcp&type=streamable_http&id=quantustik&name=Quantustik
It answered our last check on 23 October 2026 in 409 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
26, as returned by the server's own tools/list on 20 September 2026: explain_signal, fetch, get_correlation_map, get_earnings_calendar, get_fear_greed, get_filing_language_diff, get_filings_digest, get_forecast, and 18 more.
It answered our last check on 23 October 2026 in 409 ms. Over 6 checks since 11 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://quantustik.com/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: io.github.quantustik. Endpoint host: quantustik.com. ARD identifier: urn:air:io.github.quantustik:mcp:mcp.
First indexed 10 September 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.