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Read and grow a person's falsifiable, consent-based model of how they work with AI (CMP).
Do not connect
A critical issue was found. Do not connect this server as-is.
Scanned 1 month ago Due for re-check
A server can change after it's graded. Re-run the automated scan to refresh this report.
This grade is deterministic and reproducible: the same server surface always yields the same grade under a given algorithm version. It is a real automated assessment computed by the MCPGrade engine from what the probe actually observed — not a fabricated or opinion score. It is not a manual human pentest, so it can miss context-specific risks.
Every signal below was measured directly by the automated probe. The grade is derived only from evidence like this — nothing is assumed.
The hunchful MCP server exposes 7 tools, focused primarily on AI capabilities. Its published description reads: "Read and grow a person's falsifiable, consent-based model of how they work with AI (CMP)". It communicates over Streamable HTTP using the 2025-06-18 protocol revision, and does not require authorization to connect. MCPGrade currently rates hunchful F — a critical issue was found and the server should not be connected as-is. Its most notable findings include "Cross-tool shadowing" and "Cross-tool shadowing". This report is a deterministic, reproducible automated assessment: the same observed surface always yields the same grade under a given algorithm version, and it is refreshed as new scans arrive and free to read — but it is not a substitute for a manual human security review. Always re-check hunchful's advertised tools, transport security, and authorization posture before connecting an autonomous agent or sharing sensitive context with it.
Add hunchful to an MCP client using the endpoint below. Review the grade and findings above before granting an autonomous agent access.
MCP endpoint
https://hunchful.io/mcpStreamable HTTP transport. This is the MCP endpoint, not a website — paste it into your MCP client server list rather than a browser.
Captured passively during the read-only scan. Click any value to find servers that match it.
The tools this server advertises via tools/list — names, purposes, and the parameters each accepts, exactly as enumerated read-only.
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 ow
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.
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 th
Sorted worst-first. Each finding shows its severity, what it means, its OWASP MCP Top-10 mapping, and a recommended fix — the check id links to the exact methodology row that produced it.
tool: add_hunch
A tool description tries to alter the model’s use of another tool.
swered yet, use suggest_question instead.RecommendationDescriptions must describe only their own tool.
tool: apply_refinement
A tool description tries to alter the model’s use of another tool.
itToken. Prefer propose_refinement unless the owner asked for direct writes.RecommendationDescriptions must describe only their own tool.
The server accepts tool enumeration (and likely invocation) with no authentication.
RecommendationRequire OAuth 2.1 authorization for any server exposing non-public tools.
tool: read_model
The server advertises open-world / broadly-scoped capabilities.
annotations.openWorldHint = trueRecommendationScope tools to the minimum needed.
tool: propose_refinement
The server advertises open-world / broadly-scoped capabilities.
annotations.openWorldHint = trueRecommendationScope tools to the minimum needed.
tool: suggest_question
The server advertises open-world / broadly-scoped capabilities.
annotations.openWorldHint = trueRecommendationScope tools to the minimum needed.
tool: add_hunch
The server advertises open-world / broadly-scoped capabilities.
annotations.openWorldHint = trueRecommendationScope tools to the minimum needed.
tool: find_complementary_thinkers
The server advertises open-world / broadly-scoped capabilities.
annotations.openWorldHint = trueRecommendationScope tools to the minimum needed.
tool: find_matches
The server advertises open-world / broadly-scoped capabilities.
annotations.openWorldHint = trueRecommendationScope tools to the minimum needed.
tool: apply_refinement
The server advertises open-world / broadly-scoped capabilities.
annotations.openWorldHint = trueRecommendationScope tools to the minimum needed.
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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
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 complementar
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 h
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 d