Polymarket and Predict.fun historical tick data, plus backtest quotes and status, over MCP
Kwant is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Quant intelligence over MCP: backtest, signals, screens, scores & portfolios for US & TSX stocks.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http kwant-mcp https://kwant.sh/mcp
# 2 — ask your agent for something these tools do
# get_price_history, get_quote, get_fundamentals and 13 more
Kwant costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http kwant-mcp https://kwant.sh/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
16 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Get historical OHLCV price bars for a ticker. US symbols are bare (AAPL, MSFT); TSX symbols use the Yahoo .TO form (RY.TO) or the TSX:RY form. interval is one of 1m,5m,15m,30m,1h,1d,1wk,1mo (default 1d); range is one of 5d,1mo,3mo,6mo,1y,2y,5y,max (default 1y). Returns an envelope whose values contains interval, range, currency, count, and bars (records with an ISO timestamp plus open, high, low,
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ticker | string | yes | — |
| interval | string | no | — |
| range | string | no | — |
Get the latest available quote for a ticker. US symbols are bare (AAPL); TSX symbols use the Yahoo .TO form (RY.TO) or the TSX:RY form. Returns an envelope whose values holds the quote fields (price, currency, previous_close, change, change_percent, volume, market_state, asof as an ISO string). (paid: $0.0050/call)
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ticker | string | yes | — |
Get fundamental data for a ticker (profile + key ratios). US symbols are bare (AAPL); TSX symbols use the Yahoo .TO form (RY.TO) or the TSX:RY form. Returns an envelope whose values holds available fundamentals: name, exchange, currency, sector, industry, market_cap, pe_ratio, forward_pe, eps, dividend_yield, beta, fifty_two_week_high, fifty_two_week_low, asof. Fields not covered by the provider a
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ticker | string | yes | — |
Compute a technical indicator (RSI, MACD, SMA, EMA, BBANDS, ATR, ADX, STOCH) over a ticker's price history. Returns the warmup-aligned series plus the latest values and a one-line summary. Tune the window with length (SMA/EMA/RSI/ATR/ADX/BBANDS), fast/slow/signal (MACD), std (BBANDS), or k/d/smooth_k (STOCH) — pass them either as top-level fields OR nested under params; both work
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ticker | string | yes | — |
| indicator | string | yes | — |
| params | no | — | |
| length | number/string | no | — |
| window | number/string | no | — |
| period | number/string | no | — |
| fast | number/string | no | — |
| slow | number/string | no | — |
| signal | number/string | no | — |
| std | number/string | no | — |
| k | number/string | no | — |
| d | number/string | no | — |
| smooth_k | number/string | no | — |
| interval | string | no | — |
| range | string | no | — |
Detect classic technical-analysis signals on a ticker's price history. Each requested signal is evaluated and reported as triggered/not-triggered with a date and human-readable detail under signal_summary. Signals (omit signals to check all six): golden_cross = SMA(50) crosses above SMA(200) within lookback; death_cross = SMA(50) crosses below SMA(200); macd_cross = MACD line crosses above its
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ticker | string | yes | — |
| signals | array | no | — |
| lookback | integer | no | — |
| interval | string | no | — |
| range | string | no | — |
Compute quantitative statistics (volatility, sharpe, max_drawdown, returns, beta, correlation) over a ticker's daily price history. Omit metrics to default to volatility/sharpe/max_drawdown/returns. beta and correlation require a benchmark ticker; risk_free_rate is used only by the Sharpe ratio. (paid: $0.0050/call)
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ticker | string | yes | — |
| metrics | no | — | |
| range | string | no | — |
| risk_free_rate | number | no | — |
| benchmark | string/null | no | — |
Rank two or more tickers against each other by a single metric (total_return, volatility, sharpe, max_drawdown, last_price). Symbols that cannot be resolved (or lack enough history) are skipped and noted in warnings rather than failing the call. Returns a ranked list of {ticker, value, rank, currency} (rank 1 = best). (paid: $0.0050/call)
| Parameter | Type | Required | Notes |
|---|---|---|---|
| tickers | array | yes | — |
| metric | string | no | — |
| range | string | no | — |
Screen a stock universe for tickers matching quantitative filters (logical AND). Fields: price, rsi, sma_50, sma_200, volatility, sharpe, max_drawdown, total_return, dollar_volume, garman_klass_vol. Ops: lt, lte, gt, gte. (paid: $0.0100/call)
| Parameter | Type | Required | Notes |
|---|---|---|---|
| universe | string | yes | — |
| filters | array | yes | — |
| range | string | no | — |
| max_tickers | integer | no | — |
| sort_by | no | — |
Backtest a simple long-only technical strategy on daily price history. Strategies: sma_cross (golden/death cross of SMA 50/200), rsi_reversion (enter RSI<30, exit RSI>70), macd_cross (MACD line vs signal). No-lookahead: signals act on the next bar's close. Returns trades + performance metrics. (paid: $0.0100/call)
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ticker | string | yes | — |
| strategy | string | yes | — |
| range | string | no | — |
| params | no | — |
Rank a stock universe by a continuous cross-sectional signal score (rank 1 = highest z-score). Signals: jt_momentum, mean_reversion, rsi_filtered_momentum, trend_quality. Scores are relative to the scanned set. (paid: $0.0100/call)
| Parameter | Type | Required | Notes |
|---|---|---|---|
| universe | string | yes | — |
| signal | string | no | — |
| range | string | no | — |
| top_n | integer | no | — |
| max_tickers | integer | no | — |
Score and rank a universe of tickers by a cross-sectional signal. Resolves either a named universe (SP500, TSX) or an explicit tickers override, bulk-fetches daily price history over range, computes a raw per-ticker score for the chosen signal, then converts those raw scores into cross-sectional z-scores and ranks them across the universe (rank 1 = highest z-score). Signals (Jegadeesh–Titman momen
| Parameter | Type | Required | Notes |
|---|---|---|---|
| universe | string | no | — |
| tickers | array | no | — |
| signal | string | no | — |
| range | string | no | — |
| top_n | integer | no | — |
Rank a universe of tickers by monthly dollar volume with trailing returns. Resolves either a named universe (SP500, TSX) or an explicit tickers override, bulk-fetches daily OHLCV over range, resamples each to monthly bars (open=first, high=max, low=min, close=last, volume=sum), and per ticker computes trailing returns over 1/3/6/12 periods plus the latest monthly dollar volume (close * volume). Ti
| Parameter | Type | Required | Notes |
|---|---|---|---|
| universe | string | no | — |
| tickers | array | no | — |
| range | string | no | — |
| resample | string | no | — |
| top_n | integer | no | — |
Turn a {ticker: score} mapping into long-only portfolio weights. Selects names and assigns non-negative weights that sum to 1.0 using the chosen method: top_n_weighted (weight by clipped score), equal_weight, risk_parity (inverse-volatility), concentrated_vol (highest-vol from a top-score pool), or sharpe_optimized (max-Sharpe long-only). The last three fetch daily history over range (5d,1mo,3mo,6
| Parameter | Type | Required | Notes |
|---|---|---|---|
| scores | object | yes | — |
| method | string | no | — |
| top_n | integer | no | — |
| range | string | no | — |
Backtest a rebalanced, multi-ticker, long-only quant portfolio. Fetches daily history for every ticker over range, then runs a walk-forward simulation: at each period-end rebalance the chosen signal (jt_momentum, mean_reversion, rsi_filtered_momentum, trend_quality) scores each name using only data up to that date, and method turns those scores into long-only weights. Returns gross and net (after
| Parameter | Type | Required | Notes |
|---|---|---|---|
| tickers | array | yes | — |
| signal | string | no | — |
| method | string | no | — |
| range | string | no | — |
| rebalance | string | no | — |
| top_n | integer | no | — |
| cost_bps | number | no | — |
| benchmark | string/null | no | — |
| crash_filter | boolean | no | — |
Compute portfolio-level statistics for a weighted basket of tickers. Given a {ticker: weight} mapping, fetches each ticker's daily history over range and returns the portfolio-level (not per-ticker) volatility, sharpe, max_drawdown and total_return of the weighted basket. weights need NOT sum to 1 (normalized internally). Tickers that cannot be fetched are dropped, a note is added to warnings, and
| Parameter | Type | Required | Notes |
|---|---|---|---|
| weights | object | yes | — |
| range | string | no | — |
| risk_free_rate | number | no | — |
Compute the pairwise return-correlation matrix for a list of tickers. Fetches each ticker's daily history over range, converts it to daily returns, and computes the pairwise Pearson correlation (aligned on shared dates). Requires at least two tickers; tickers that cannot be fetched are dropped and noted in warnings (at least two must survive). Returns the standard envelope; values holds range, the
| Parameter | Type | Required | Notes |
|---|---|---|---|
| tickers | array | yes | — |
| range | string | no | — |
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Kwant or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Kwant can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.