Server data from the Official MCP Registry
Read and grow a person's falsifiable, consent-based model of how they work with AI (CMP).
About
Read and grow a person's falsifiable, consent-based model of how they work with AI (CMP).
Remote endpoints: streamable-http: https://hunchful.io/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
7 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-hunchful-hunchful": {
"url": "https://hunchful.io/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Hunchful MCP server
Remote MCP server: https://hunchful.io/mcp (Streamable HTTP)
Hunchful is an open implementation of the Cognitive Model Protocol (CMP): a person makes a revisable, falsifiable model of how they collaborate best with AI — hunches with a confidence, an uncertainty, and what would change my mind — at a permanent URL any agent can read. This server lets your assistant read that model, adapt to it, and help it grow slowly, with the person approving everything that matters.
Add it
Claude — Settings → Connectors → Add custom connector → https://hunchful.io/mcp
ChatGPT (developer mode) — Settings → Connectors → Add → URL https://hunchful.io/mcp,
auth OAuth (sign in with your Hunchful account to act on your own model) or none
(open reads; pass keys as tool arguments).
Anything else — any MCP client that speaks Streamable HTTP. OAuth 2.1 with PKCE +
dynamic client registration; discovery at /.well-known/oauth-authorization-server.
Tools (rising trust)
| Tool | Auth | What it does |
|---|---|---|
read_model | none | The full model: hunches with confidence, uncertainty, falsifier, pole labels, situational activation rules, and the open-questions to-do list. |
find_complementary_thinkers | none | Which famous thinkers would complete this person — opposite poles on the axes where opposites unstick each other. |
propose_refinement | contribution key / OAuth | Strengthen/weaken suggestions → the owner's confirm queue. Nothing applies until they accept. |
suggest_question | contribution key / OAuth | Propose a NEW axis as a question → the owner's inbox (+ opt-in email). |
apply_refinement | edit key / OAuth owner | Direct, logged, reversible confidence nudges with private evidence pointers. |
add_hunch | edit key / OAuth owner | Record a hunch the person just confirmed in conversation — visible, revisable, removable. |
find_matches | edit key / OAuth owner | Look for complementary people. Agents propose; humans accept — double opt-in, identities never revealed by the tool. |
The rules the server enforces
- Everything is a hypothesis — revisable positions on two-poled axes, never labels.
- Nothing is silent — every write is logged in the model's revision history; evidence entries are individually deletable and revert exactly what they applied.
- Provenance pointers only — no conversation text, quotes, or third-party names, ever.
- Never identity — a protected-attribute screen rejects axes about religion, politics, health, ethnicity, gender, sexuality, or neurotype on every write path.
- Situational hunches apply only when the person says they're in the state.
- Slow by design — the model asks agents for at most one suggestion a day, one new question a week, and silence when nothing real happened.
Links
- Agent guide: https://hunchful.io/agent
- Machine-readable model example:
https://hunchful.io/m/{id}/cmp.json - Protocol: https://github.com/filinils/cognitive-model-protocol
- Discovery: https://hunchful.io/llms.txt
The Hunchful app itself is a private codebase; this repo documents its public MCP surface.
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