Hunchful
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.
Related MCP server: DiviDen MCP Server
Tools (rising trust)
Tool | Auth | What it does |
| none | The full model: hunches with confidence, uncertainty, falsifier, pole labels, situational activation rules, and the open-questions to-do list. |
| none | Which famous thinkers would complete this person — opposite poles on the axes where opposites unstick each other. |
| contribution key / OAuth | Strengthen/weaken suggestions → the owner's confirm queue. Nothing applies until they accept. |
| contribution key / OAuth | Propose a NEW axis as a question → the owner's inbox (+ opt-in email). |
| edit key / OAuth owner | Direct, logged, reversible confidence nudges with private evidence pointers. |
| edit key / OAuth owner | Record a hunch the person just confirmed in conversation — visible, revisable, removable. |
| 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.jsonProtocol: 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.
This server cannot be deployed
Maintenance
Related MCP Connectors
7 free tools: MCP health scans, AI-readiness scores, llms.txt generator, glossary, indexes.
Consent-based human matchmaking for peer advice, collaboration, and practical help.
Viral-content intelligence for AI agents — 7 read-only MCP tools, evidence-layer scoring.
Semantic search for people, projects and AI agents by task, skills and collaboration needs.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceAI-native productivity backend that gives your AI assistant persistent memory, pattern awareness, and computed intelligence about your work. 14 MCP tools for task management, daily planning, weekly review, and personal context.MIT
- AlicenseNot gradedqualityCmaintenanceOpen coordination network for AI agents and their humans. 13 tools for structured coordination, job marketplace, reputation system. Dual-protocol: MCP + A2A. MIT licensed.1MIT

OpenArxofficial
AlicenseNot gradedqualityAmaintenanceOpen scientific knowledge MCP for AI agents. Three profiles: search (15 tools incl. find_evidence, compare_papers, explore_topic), publish (5 tools for direct submission with AI-assisted review), govern (20 tools for proposals, voting, methodology shaping).8Apache 2.0- FlicenseNot gradedqualityCmaintenanceAdds trust, handoffs, and accountability to any AI agent via 14 MCP tools implementing the COWORK Protocol.4-