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Hunch

REMOTE · HUNCHSHEET.APP · 3 COMPONENTS

Calibrated judgments for text: yes/no probabilities, picks from your options, or scores.

0 this week 39 Trust /100

Last scanned (7 hours ago)

Scores higher than 35% of remote servers

Reachable. Last reached 7 Nov 2026.

Category AI and Machine Learning

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 & Reachability0
Schema Quality & AI Usability0
  • Schema blocked by authentication: the endpoint requires auth we don't have to read it. See how to fix → Unverified
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage0
  • Tool coverage blocked by authentication: the endpoint requires auth we don't have to read its tools.Unverified
Tool Safety0
  • Tool safety blocked by authentication: the endpoint requires auth we don't have to read its tools.Unverified
Capabilities0
  • Capabilities blocked by authentication: the endpoint requires auth we don't have to read them. See how to fix → Unverified

Unverified: 6 categories

Categories scored 0 because we could not verify them: authentication we do not have, an unreachable endpoint, or not enough scan history. We only credit what we can confirm. Claim this server and supply a read-only token to verify it and lift the score.

What we tested

Checks we ran (5)

  • TLS certificate
  • Authorization
  • HTTPS
  • HSTS header
  • DNSSEC

Checks we could not complete (6)

These are gaps on our side, not findings about this hosted endpoint. We only credit what we can confirm, so a category made up entirely of them scores 0.

  • Transport in Transport & Reachability (scores 0 for this)Transport blocked by authentication: the endpoint requires auth we don't have to verify streamable-http.
  • Schema quality in Schema Quality & AI Usability (scores 0 for this)Schema blocked by authentication: the endpoint requires auth we don't have to read it.
  • Stability in Stability & Change Management (scores 0 for this)Stability not yet verified: not enough scan history yet (needs a 30-day window).
  • Tool coverage in Tool Coverage (scores 0 for this)Tool coverage blocked by authentication: the endpoint requires auth we don't have to read its tools.
  • Tool safety in Tool Safety (scores 0 for this)Tool safety blocked by authentication: the endpoint requires auth we don't have to read its tools.
  • Capabilities in Capabilities (scores 0 for this)Capabilities blocked by authentication: the endpoint requires auth we don't have to read them.

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.

  • 6 Nov 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 29 Sept 26 0
    • Endpoint reachability: reachable → behind authorisation ▼ security
    • Tool safety: pass → unverified ▼ security
    • Transport: pass → unverified ▼ security
    • Authorization: partial → pass ▲ security
    • First check of Authorization: pass security
    • Tool coverage: 100 → unverified ▼ functional
    • Capabilities: pass → unverified ▼ functional
    • First check of Schema quality: unverified functional
  • 28 Sept 26 0

    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 7 Nov 2026 · Probed https://hunchsheet.app/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=*.hunchsheet.app CN=YR1,O=Let's Encrypt,C=US 25 Oct 2026 23 Jan 2027 RSA 2048 SHA256-RSA 6d5e749223eb8f5fa2890c10b36794a132c
SANs: *.hunchsheet.app, hunchsheet.app
CN=YR1,O=Let's Encrypt,C=US (CA) CN=Root YR,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 RSA 2048 SHA256-RSA a20253f15f2691c05dc1ce13b9bcca4e
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 hunchsheet.app. — Not signed

Zone DS Keys Algorithms Outcome
. Trust anchor 20326, 38696 8, 8 Verified
app. DS published 23684 8 Verified
hunchsheet.app. 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 connection
HTTP status 401

WWW-Authenticate challenge Bearer resource_metadata="https://hunchsheet.app/.well-known/oauth-protected-resource"

Bearer resource_metadata="https://hunchsheet.app/.well-known/oauth-protected-resource"
Header Value
strict-transport-security max-age=63072000
x-content-type-options nosniff
referrer-policy strict-origin-when-cross-origin
www-authenticate Bearer resource_metadata="https://hunchsheet.app/.well-known/oauth-protected-resource"

Protected resource metadata

Document https://hunchsheet.app/.well-known/oauth-protected-resource
Retrieved Yes
Resource https://hunchsheet.app/mcp
Authorisation server https://hunchsheet.app

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

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://hunchsheet.app/mcp Auth required 401
http (plaintext) http://hunchsheet.app/mcp HTTPS enforced 308 https://hunchsheet.app/mcp
MCP tools · 5 exposed · ~1,065 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
hunch_ask ~246

Judge a batch of short texts against one yes/no question and get back a calibrated probability (0 to 1) per text, not generated prose. Use it to score, tag, filter or triage many leads, support tickets, reviews, survey answers or emails at once, for example "Is this lead a decision maker?" or "Is this email urgent?". Costs 1 credit per answered text (blank texts and texts repeated elsewhere in the same call are free; answers are cached 6 hours). Limits: the model reads the text only, no math, counting or dates; English works best; put the full definition of what counts as yes inside the question, since the model sees nothing else.

NameTypeReqDescription
questionstringyesA yes/no question, e.g. "Is this lead a decision maker who can approve a purchase without asking someone else?". Put the full definition of yes/no in the question text.
textsarrayyesShort texts to judge (leads, tickets, reviews, survey answers, emails, ...), one answer per text. Blank entries and texts repeated elsewhere in the same call cost nothing. Chunked internally into cal…
NameTypeReqDescription
chargedintegeryesCredits spent on this call.
creditsintegeryesCredits left on the key after this call.
resultsarrayyes–

No examples provided.

hunch_balance ~56

Check how many Hunch credits are left on this key and how many have been used so far. Read-only, costs nothing. Call it before a large batch, or when a judging tool reports texts were skipped for lack of credits.

Input schema present but exposes no named parameters.

NameTypeReqDescription
creditsintegeryesCredits left on the key.
usedintegeryesCredits used on this key so far, lifetime.

No examples provided.

hunch_multi ~225

Ask up to 10 yes/no questions about the same batch of texts in one call, one probability per question per text, not generated prose. Use it when several judgments read the same text at once, for example "Can they buy?", "Are they angry?", "Is it urgent?" on the same support ticket, for a fraction of the tokens of separate calls. Costs 1 credit per answered question per text (blanks and duplicate texts are free). Limits: the model reads the text only, no math, counting or dates, English works best, and each question needs its own definition of yes inside it.

NameTypeReqDescription
questionsarrayyesUp to 10 yes/no questions, each answered once per text, e.g. ["Can they buy?", "Are they angry?", "Is it urgent?"].
textsarrayyesShort texts to judge (leads, tickets, reviews, survey answers, emails, ...), one answer per text. Blank entries and texts repeated elsewhere in the same call cost nothing. Chunked internally into cal…
NameTypeReqDescription
chargedintegeryes–
creditsintegeryes–
resultsarrayyes–

No examples provided.

hunch_pick ~273

Sort a batch of short texts into one of your own categories and get back the chosen option plus how confident the model is, not generated prose. Use it to route support tickets, classify feedback, or tag leads by type, for example options ["billing: invoices and charges", "refund", "bug", "other"]. Costs 1 credit per answered text (blanks and duplicates in the same call are free). Limits: 2 to 255 options, each "label" or "label: description" to disambiguate a short label; the model reads the text only, no math, counting or dates, English works best.

NameTypeReqDescription
optionsarrayyesThe options to choose from, 2 to 255 of them. Each is "label" or "label: description" when the label alone is ambiguous, e.g. "billing: invoices and charges".
questionstring–Optional. What is being decided, e.g. "Which category does this ticket belong to?". Defaults to "Which option best describes this text?".
textsarrayyesShort texts to judge (leads, tickets, reviews, survey answers, emails, ...), one answer per text. Blank entries and texts repeated elsewhere in the same call cost nothing. Chunked internally into cal…
NameTypeReqDescription
chargedintegeryes–
creditsintegeryes–
resultsarrayyes–

No examples provided.

hunch_score ~265

Place a batch of short texts on your own ordered scale (2 to 10 levels, low to high) and get back a probability-weighted position, the most likely level, and confidence, not generated prose. Use it for sentiment ("angry|disappointed|neutral|happy|delighted"), fit scoring ("no fit|weak|good|perfect"), or any low-to-high rating. Costs 1 credit per answered text (blanks and duplicates in the same call are free). Limits: the model reads the text only, no math, counting or dates, English works best, and the question should say what is being scored.

NameTypeReqDescription
levelsarrayyesThe scale, low to high, 2 to 10 levels, e.g. ["angry", "disappointed", "neutral", "happy", "delighted"]. Each may be "label: description".
questionstringyesWhat is being scored, e.g. "How does the reviewer feel about the product overall?".
textsarrayyesShort texts to judge (leads, tickets, reviews, survey answers, emails, ...), one answer per text. Blank entries and texts repeated elsewhere in the same call cost nothing. Chunked internally into cal…
NameTypeReqDescription
chargedintegeryes–
creditsintegeryes–
resultsarrayyes–

No examples provided.

Install

How do I install the Hunch MCP server?

Hunch is a hosted endpoint at https://hunchsheet.app/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 · hunchsheet.app

# add to Claude Code
claude mcp add --transport http app-hunchsheet-hunch 'https://hunchsheet.app/mcp'
Common questions

What is the Hunch MCP server?

Hunch is an MCP server listed in the public MCP registry as app.hunchsheet/hunch. Calibrated judgments for text: yes/no probabilities, picks from your options, or scores. This page covers its hosted endpoint (https://hunchsheet.app/mcp).

Is the Hunch MCP server safe to use?

Hunch scores 39 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 Hunch MCP server expose?

Hunch exposes 5 tools: hunch_ask, hunch_pick, hunch_score, hunch_multi, hunch_balance. Their descriptions and schemas cost roughly 1,065 tokens of context every time the server is loaded.

Does the Hunch MCP server require authentication?

Yes. Hunch 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 Hunch MCP server still maintained?

Hunch is still listed as active in the MCP registry. We last reached this channel on 7 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 Hunch MCP server?

VerifyMCP ran 5 checks on Hunch, covering TLS certificate, Authorization, HTTPS, HSTS header and 1 more. 6 items could not be completed, a gap on our side rather than a finding about Hunch: Transport, Schema quality, Stability, Tool coverage and 2 more. 6 categories score 0 for that reason, because we only credit what we can confirm. 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.