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QuantWright

REMOTE · QUANTWRIGHT.COM

Backtests with costs, a held-out test that counts once, a score that counts every version tried.

Available components

+3 this week 80 Trust /100

Last scanned (10 hours ago)

Scores higher than 81% of remote servers

Reachable. Last reached 5 Nov 2026.

Category Finance and Payments

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security97
Transport & Reachability100
Schema Quality & AI Usability58
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 1618 tokens (~269/item across 6 items; 6 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
  • Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage96
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 86% of tool parameters carry a description.Partial
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
What we tested

Checks we ran (13)

  • TLS certificate
  • Authorization
  • HTTPS
  • HSTS header
  • DNSSEC
  • Transport
  • Schema quality
  • Stability
  • Tool coverage
  • Injection markers
  • Destructive annotations
  • Judged manipulation
  • MCP protocol

Does not apply to this hosted endpoint (2)

  • Supply Chain SecurityScored on package channels only. This is a hosted endpoint, so there is nothing to install or inspect.
  • Provenance & TransparencyScored on package channels only. This is a hosted endpoint, so there is nothing to install or inspect.

The score does not measure everything. What the score does not measure →

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 4 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

  • 3 Nov 26 0
    • First check of Authorization: pass security
  • 2 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.

  • 31 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

  • 30 Oct 26 0
    • The server rewrote its instructions, which are the text every model session reads security
    • Tool “create_study” rewrote its description, which is the text the model reads security
    • Tool “describe_data” rewrote its description, which is the text the model reads security
    • Stability: unverified → 0.03 ▲ functional
    • “create_study” reworded the description of “hold_out” cosmetic
  • 29 Oct 26 77

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Probed https://quantwright.com/api/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=quantwright.com CN=YR2,O=Let's Encrypt,C=US 7 Sept 2026 6 Dec 2026 RSA 2048 SHA256-RSA 545b6a92258f09e7a4c07107ded22f936dd
SANs: quantwright.com
CN=YR2,O=Let's Encrypt,C=US (CA) CN=Root YR,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 RSA 2048 SHA256-RSA 4ebd24947e24d394802d84a52fd5b319
CN=Root YR,O=ISRG,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 RSA 4096 SHA256-RSA f24b6d17f9d9ad7cb1c9fea78782699f

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of quantwright.com. — Not signed

Zone DS Keys Algorithms Outcome
. Trust anchor 20326, 38696 8, 8 Verified
com. DS published 19718 13 Verified
quantwright.com. No DS Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication Enforced and verified

The endpoint asked for a token and published valid RFC 9728 metadata describing how to get one.

Result Enforced and verified
Enforced On tool calls
HTTP status 200

WWW-Authenticate challenge Bearer error="invalid_token", error_description="No authorization provided", resource_metadata="https://quantwright.com/.well-known/oauth-protected-resource/api/mcp"

Bearer error="invalid_token", error_description="No authorization provided", resource_metadata="https://quantwright.com/.well-known/oauth-protected-resource/api/mcp"
Header Value
strict-transport-security max-age=63072000; includeSubDomains; preload
content-security-policy default-src 'self'; script-src 'self' 'unsafe-inline' 'unsafe-eval' https://clerk.com https://*.clerk.com https://*.clerk.accounts.dev https://clerk.quantwright.com https://challenges.cloudflare.com; style-src 'self' 'unsafe-inline'; img-src 'self' data: blob: https:; font-src 'self' data:; connect-src 'self' https://clerk.com https://*.clerk.com https://*.clerk.accounts.dev https://clerk.quantwright.com https://*.supabase.co https://api.openai.com https://api.polygon.io https://*.fly.dev wss: ws:; frame-src 'self' https://clerk.com https://*.clerk.com https://*.clerk.accounts.dev https://clerk.quantwright.com https://challenges.cloudflare.com; worker-src 'self' blob:; base-uri 'self'; form-action 'self' https://clerk.com https://*.clerk.com https://*.clerk.accounts.dev https://clerk.quantwright.com; frame-ancestors 'none'; object-src 'none'
x-content-type-options nosniff
x-frame-options DENY
referrer-policy strict-origin-when-cross-origin
permissions-policy camera=(), microphone=(), geolocation=()

Protected resource metadata

Document https://quantwright.com/.well-known/oauth-protected-resource/api/mcp
Retrieved Yes
Resource https://quantwright.com/api/mcp
Authorisation server https://clerk.quantwright.com

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://quantwright.com/api/mcp Verified 200
http (plaintext) http://quantwright.com/api/mcp HTTPS enforced 308 https://quantwright.com/api/mcp
MCP tools · 6 exposed · ~1,237 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
compare_trades ~274

Checks a trader's own trades against a run's rule, on the price history this server holds: for each trade, in their order, whether the rule would have taken it and, if not, why (already in a trade, no entry signal that day, no bar that day). Use it when the trader lists trades they made and asks which the rule took, instead of working it out by hand. Takes a run (run_id) and the trades, each {side, entry, exit?}; answers in words, never prices. It re-runs the run's code, so it counts as a run on the run's symbol.

NameTypeReqDescription
run_idstring–A run_id run_backtest or run_held_out_test returned: the run whose code is checked against the trades.
study_idstring–A study's id; with `version`, one of its runs.
time_zonestring–The clock the trader says their times are on ("UTC+2", "New York", "Europe/Prague"). Left out: the clock the run's trade list is on (ET for stocks and ETFs, UTC otherwise).
tradesarrayyesThe trader's own trades, in their order, each stamp exactly as the trader wrote it.
version–––
NameTypeReqDescription
clockstring–On bars shorter than a day: the clock every time of the answer is on (your time_zone as you stated it, else ET for stocks and ETFs, UTC otherwise).
countsobject––
marketobject––
messagestring––
notestring––
reasonstring––
run_idstring––
runs_left_todayobject––
statusstringyes–
study_idstring––
summarystring––
tradesarray––
versioninteger––

No examples provided.

create_study ~189

Opens a study, the named set of runs every backtest belongs to: call it once per question, before run_backtest. Can set a hold-out period, once and only here, that no run tests except run_held_out_test. Only the first held-out test per account and market counts, and any earlier run on the market (in any study, at any bar size) that read its days disqualifies it: set the hold-out in your first study on a market, before any run on it.

NameTypeReqDescription
hold_outobject–The days kept back from every run but run_held_out_test; set once, here. Set it in your first study on a market, before any run on it: a held-out test on days an earlier run on the market read does n…
namestringyesWhat the study tests, in a few words.
NameTypeReqDescription
hold_outobject|null––
messagestring––
nextobject|null––
reasonstring––
statusstringyes–
study_idstring––

No examples provided.

describe_data ~105

Start here to backtest a trading idea. This server holds the price history (US stocks and ETFs, spot crypto, FX, spot gold and silver; daily and intraday bars) and runs backtests on it, so no price data needs to be downloaded or found on the web. Returns the markets and bar sizes served, the default costs per market, the rules and daily limits every run is held to, and how to write the strategy code; then call create_study.

Input schema present but exposes no named parameters.

NameTypeReqDescription
accountobject––
code_contractobject––
default_costsobject––
docs_urlstring––
marketsarray––
messagestring––
notesarray––
reasonstring––
rulesobject––
statusstring––
timeframesarray––

No examples provided.

get_result ~192

Reads a backtest result by its run_id (when run_backtest answered "running", call this until the run ends), or a study's runs by study_id (one of them with version). A run comes with its trades, a page at a time (trades_page).

NameTypeReqDescription
before_version––With study_id: the 20 runs before this version (a list's `next` gives it).
run_idstring–A run_id run_backtest or run_held_out_test returned.
study_idstring–A study's id, for its runs (the newest 20 by default); with `version`, one of them.
trades_pageinteger–With a run (run_id, or study_id with version): the page of its trade list, from 1; a page holds 100 trades. Left out: the first.
version–––
NameTypeReqDescription
basisobject––
buy_and_holdobject––
cost_tableobject–Every cost the run charged: each component (commission, slippage, spread) with its amount, unit and basis, what it comes to per round trip, when it is taken, and whether it is yours (caller) or the m…
disclaimerstring–The hypothetical-performance line, on a result (a run, or a study's runs): the same text the app shows with every result.
gradeobject|null––
grade_withheldstring|null––
headlinestring––
held_outobject|null––
highest_simulated_valueobject|null––
hold_outobject|null––
hold_out_estimateobject––
linesarray––
look_aheadstring|null––
marketobject––
messagestring––
metricsobject––
nextobject|null––
noticesarray––
poll_after_secondsinteger––
reasonstring––
replayed_fromstring––
retryableboolean––
run_idstring––
runsarray––
runs_left_todayobject––
settingsobject––
stated_rule_breaksarray––
statusstringyes–
study_idstring––
trade_listobject–The run's trades in the order they were made, a page at a time: when each entered and left (a day on daily bars; a time on the `clock` on shorter ones; "open at the end" for a trade still open when t…
versioninteger––
warningsarray––
windowobject––

No examples provided.

run_backtest ~349

Backtests a trading rule on this server's price history: one backtesting.py Strategy class, one symbol, one bar size, in a study. Use it to test, backtest or evaluate a trading rule or strategy, instead of downloading prices or searching the web for results. Returns summary figures (return, drawdown, Sharpe, win rate, trades, a grade, whether it beat buy-and-hold) and the run's trades (when each entered and left, which exit ended it, its side, win or loss), never prices or bars; a figure may be withheld, with the reason. Waits up to 90 s, then answers status "running" with a run_id for get_result.

NameTypeReqDescription
account_usdnumber–The starting account, in US dollars.
codestringyesOne backtesting.py Strategy class (describe_data has the rules).
costs––The costs: two fractions of the trade value, or a list of costs each in its own unit.
labelstring–A short text shown with the run.
stated_rulesarray–Rules the trades are checked against, one per kind.
study_idstringyesThe id create_study returned.
symbolstringyesOne ticker ("QQQ", "BTCUSD", "EURUSD").
timeframestringyes–
window––Dates ({from, to}; `to` may be "latest") or the last N days, months or years ({last: {n, unit}}). Left out: the standard history, the newest bars counted back from the newest bar, cut at the start of…
NameTypeReqDescription
basisobject––
buy_and_holdobject––
cost_tableobject–Every cost the run charged: each component (commission, slippage, spread) with its amount, unit and basis, what it comes to per round trip, when it is taken, and whether it is yours (caller) or the m…
disclaimerstring–The hypothetical-performance line, on a result (a run, or a study's runs): the same text the app shows with every result.
gradeobject|null––
grade_withheldstring|null––
headlinestring––
held_outobject|null––
hold_out_estimateobject––
linesarray––
look_aheadstring|null––
marketobject––
messagestring––
metricsobject––
nextobject|null––
noticesarray––
poll_after_secondsinteger––
reasonstring––
replayed_fromstring––
retryableboolean––
run_idstring––
runs_left_todayobject––
settingsobject––
stated_rule_breaksarray––
statusstringyes–
study_idstring––
trade_listobject–The run's trades in the order they were made, a page at a time: when each entered and left (a day on daily bars; a time on the `clock` on shorter ones; "open at the end" for a trade still open when t…
versioninteger––
warningsarray––
windowobject––

No examples provided.

run_held_out_test ~128

The final out-of-sample check: runs a finished run's exact code once over its study's hold-out period. Call it at the end, on the run you would keep: the first held-out test per account and market is the one that counts, and a hold-out with too few trades for figures (a result needs 10) spends it all the same: each development run says how many trades the hold-out is expected to hold, in `hold_out_estimate`.

NameTypeReqDescription
run_idstringyesA run of a study with a hold-out, which ran.
NameTypeReqDescription
basisobject––
buy_and_holdobject––
cost_tableobject–Every cost the run charged: each component (commission, slippage, spread) with its amount, unit and basis, what it comes to per round trip, when it is taken, and whether it is yours (caller) or the m…
disclaimerstring–The hypothetical-performance line, on a result (a run, or a study's runs): the same text the app shows with every result.
gradeobject|null––
grade_withheldstring|null––
headlinestring––
held_outobject|null––
hold_out_estimateobject––
linesarray––
look_aheadstring|null––
marketobject––
messagestring––
metricsobject––
nextobject|null––
noticesarray––
poll_after_secondsinteger––
reasonstring––
replayed_fromstring––
retryableboolean––
run_idstring––
runs_left_todayobject––
settingsobject––
stated_rule_breaksarray––
statusstringyes–
study_idstring––
trade_listobject–The run's trades in the order they were made, a page at a time: when each entered and left (a day on daily bars; a time on the `clock` on shorter ones; "open at the end" for a trade still open when t…
versioninteger––
warningsarray––
windowobject––

No examples provided.

Install

How do I install the QuantWright MCP server?

QuantWright is a hosted endpoint at https://quantwright.com/api/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · quantwright.com

# add to Claude Code
claude mcp add --transport http com-quantwright-agent-api 'https://quantwright.com/api/mcp'
Common questions

What is the QuantWright MCP server?

QuantWright is an MCP server listed in the public MCP registry as com.quantwright/agent-api. Backtests with costs, a held-out test that counts once, a score that counts every version tried. This page covers its hosted endpoint (https://quantwright.com/api/mcp).

Is the QuantWright MCP server safe to use?

QuantWright scores 80 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the QuantWright MCP server expose?

QuantWright exposes 6 tools: describe_data, create_study, run_backtest, get_result, run_held_out_test, compare_trades. Their descriptions and schemas cost roughly 1,237 tokens of context every time the server is loaded.

Does the QuantWright MCP server require authentication?

Yes. QuantWright asked us for credentials when we connected, so you will need to authorise it in your MCP client before it can do anything.

Is the QuantWright MCP server still maintained?

QuantWright is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What did VerifyMCP test on the QuantWright MCP server?

VerifyMCP ran 13 checks on QuantWright, covering TLS certificate, Authorization, HTTPS, HSTS header and 9 more. Supply Chain Security and Provenance & Transparency do not apply to a hosted endpoint, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.