io.hunchful/hunchful
repo:https://github.com/filinils/hunchful-mcp
Read and grow a person's falsifiable, consent-based model of how they work with AI (CMP).
- transport:
- remote
- credential class:
- self-provisionable
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- add_hunchshallow
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.
- apply_refinementshallow
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.
- find_complementary_thinkersshallow
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_matchesshallow
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_refinementshallow
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.
- read_modelshallow
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_questionshallow
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.
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