mcp server
hunchful
Read and grow a person's falsifiable, consent-based model of how they work with AI (CMP).
Description as published by the maintainer. Source
- version 1.0.0
- active
active — Registry entry last updated 2026-07-04.
What this server can do
7 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
add_hunch(by, name, pole, poleA, poleB, modelId, editToken, confidence)- Record a NEW hunch the person just confirmed in conversation — a custom axis with their answer, added directly to their model (visible, revisable, removable by them). OWNER-LEVEL trust required: OAuth as the owner, or the editToken. Only record what the person actually said — never invent or infer a hunch they didn't confirm. For situational axes name it 'When <situation>'. If they haven't answered yet, use suggest_question instead. Required: name, poleA, poleB, pole.
apply_refinement(items, modelId, editToken)- Apply a refinement directly as one logged revision (append evidence pointers, nudge confidence). Authorized by OAuth (own model) or an editToken. Prefer propose_refinement unless the owner asked for direct writes. Required: items.
find_complementary_thinkers(modelId)- Which famous thinkers would COMPLETE this person — opposite poles on the axes where opposites unstick each other (not similarity). Open read; great for curiosity and for explaining what a complementary collaborator looks like. Share the pages as links.
find_matches(modelId, direction, editToken)- Look for complementary PEOPLE for the connected person (rule: agents propose, humans accept — this creates pending proposals the human decides on in their Hunchful hub; identities are never revealed here). Requires OAuth as the owner or the model's editToken, and the person must have joined introductions on their matches page.
propose_refinement(items, modelId, contributionToken)- Propose a refinement (provenance pointers only). It lands in the owner's confirm queue — nothing changes until they accept. Authorized by OAuth (own model) or a contributionToken. Required: items.
read_model(modelId)- Read a Hunchful collaboration model: its hunches (axis, pole, confidence), the axis ids you can refine, and how you're connected. Start here. With OAuth, omit modelId to read the connected person's own model.
suggest_question(by, why, name, poleA, poleB, modelId, question, contributionToken)- Suggest a NEW question/axis for the person — a dimension their model doesn't capture (situational axes welcome: name it 'When <situation>'). It lands in their Hunchful inbox and, by default, emails them; nothing is added until they answer. Authorized by OAuth (own model) or a contributionToken. Use sparingly — about once a week at most. Required: name, poleA, poleB, question.
Last successful function declaration observed on . Source: https://hunchful.io/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://hunchful.io/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 1.0.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-04 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-07-04 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 7 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | hunchful.io | |
| mcp endpoint status | ok | The server listed 7 functions when asked. | as of probe | hunchful.io |
Where to get it
This record as data
Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.
GET /api/v1/entries/mcp_server.json