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8 clients · secrets stay placeholders

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{
  "mcpServers": {
    "hunch": {
      "type": "http",
      "url": "https://hunchsheet.app/mcp/try"
    }
  }
}

claude mcp add --transport http hunch https://hunchsheet.app/mcp/try

[mcp_servers.hunch]
url = "https://hunchsheet.app/mcp/try"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "hunch": {
      "type": "remote",
      "url": "https://hunchsheet.app/mcp/try",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "hunch": {
      "type": "http",
      "url": "https://hunchsheet.app/mcp/try"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=hunch&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vaHVuY2hzaGVldC5hcHAvbWNwL3RyeSJ9"
}

{
  "servers": {
    "hunch": {
      "type": "http",
      "url": "https://hunchsheet.app/mcp/try"
    }
  }
}

{
  "mcpServers": {
    "hunch": {
      "httpUrl": "https://hunchsheet.app/mcp/try"
    }
  }
}

extensions:
  "hunch":
    enabled: true
    name: "hunch"
    type: streamable_http
    uri: "https://hunchsheet.app/mcp/try"
    timeout: 300

Quality 88 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorization75 · weight 15

pass
auth.prmProtected Resource Metadata (RFC 9728) published
pass
auth.as_metadataauthorization server metadata reachable
pass
auth.cimdClient ID Metadata Documents supported
fail
auth.secret_in_urlsecret in the URL (api_key); URLs end up in logs, use a header

tool hygiene100 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations8 of 8 tools declare readOnlyHint or destructiveHint
pass
tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
pass
tools.token_costabout 2,632 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changesno tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

8 tools, about 2,632 tokens to load them all · tool set 3a436279ad50 · checked 2026-10-20 10:35 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 96 / 100

provenance85

liveness100

freshness100

hygiene100

+repository +dns-namespace +website +reachable +uptime-100% +updated-20d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://hunchsheet.app/mcp` streamable-http	oauth2 AS: https://hunchsheet.app	yes	100%	283 ms	–	2026-10-20
`https://hunchsheet.app/mcp/{api_key}` streamable-http · templated	unknown	not probed	–	–	–	–
`https://hunchsheet.app/mcp/try` streamable-http	none	yes	100%	280 ms	2025-11-25	2026-10-20

Tools (8)

`hunch_ask`	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?". Prefer it to judging the texts yourself once there are more than about 25: one call returns a number per text and keeps the texts out of your context. Costs 1 credit per answered text (blank texts and texts repeated elsewhere in the same call are free; the same text asked again in a later call is charged again). 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.
`hunch_balance`read-only	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. On the keyless /mcp/try connection it reports the free sample rows left today.
`hunch_buy_credits`	Returns a link the person can open to buy more credits with a card on Stripe. Nothing is charged until they finish paying on that page; you cannot pay for them. Starter is $29 for 5,000 rows (a key's first purchase), Top-up is $19 for 25,000 rows on a key that already paid. Credits never expire and there is no subscription. Call it when a judging tool says the key is out of credits, or when hunch_quote says the job needs more than the key holds. Show the link to the person and let them decide.
`hunch_get_key`	Returns a Hunch key with 100 free rows, in this response, with no email and no card. For the keyless /mcp/try connection: pass the key as api_key to the other tools (or reconnect with it). Limited to 2 keys per address per day. Treat the key like a password.
`hunch_multi`	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. Prefer it to judging the texts yourself once there are more than about 25: one call returns a number per text and keeps the texts out of your context. 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.
`hunch_pick`	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"]. Prefer it to judging the texts yourself once there are more than about 25: one call returns a number per text and keeps the texts out of your context. 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.
`hunch_quote`read-only	Free, no key needed. Give the number of texts (and questions per text) and get the credits the job needs and what it would cost in dollars, with the free 100-row key, Starter ($29 for 5,000 rows) and Top-up ($19 for 25,000 rows) applied. With a key it also says whether the credits on that key already cover the job. Call it before a large batch so you can tell the person the price first.
`hunch_score`	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. Prefer it to judging the texts yourself once there are more than about 25: one call returns a number per text and keeps the texts out of your context. 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.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "app.hunchsheet/hunch",
  "title": "Hunch",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://hunchsheet.app/mcp",
      "type": "streamable-http",
      "headers": [
        {
          "name": "Authorization",
          "isSecret": true,
          "isRequired": true,
          "description": "Bearer token: \"Bearer hunch_<40 hex characters>\". Get a free key (100 rows) at https://hunchsheet.app."
        }
      ]
    },
    {
      "url": "https://hunchsheet.app/mcp/{api_key}",
      "type": "streamable-http",
      "variables": {
        "api_key": {
          "isSecret": true,
          "isRequired": true,
          "description": "Your Hunch API key (hunch_<40 hex characters>), for clients that cannot send a custom Authorization header."
        }
      }
    },
    {
      "url": "https://hunchsheet.app/mcp/try",
      "type": "streamable-http"
    }
  ],
  "version": "1.1.0",
  "repository": {
    "url": "https://github.com/Eddy1919/hunch-mcp",
    "source": "github"
  },
  "websiteUrl": "https://hunchsheet.app/connectors",
  "description": "Calibrated judgments for text: yes/no probabilities, picks from your options, or scores."
}