MCP Conduct Register
Check MCP server conduct
- Category
- Pending
- Primary Subcategory
- AI Output Verification & Grounding
Integration details
Description
This plugin exposes a public register of measured conduct for MCP servers. Five conditions are measured on a schedule: the server speaks MCP, it publishes an A2A agent card, it declares who pays it, identical input returns identical output, and the verdict itself can be recomputed by a third party. A condition that could not be measured is recorded as not measured. It is never counted as a pass, and that rule is not relaxed for the operator of the register. The register does not rank servers. It does not recommend one server over another. It returns what was measured, when it was measured, and the SHA-256 of the record so that the reading can be checked by someone who does not trust the party that issued it. An endpoint that is absent from the register has simply never been measured here. Absence is reported as absence and is not a negative verdict. Determinism is not measured unless the owner of the checked server has recorded consent, because measuring it requires executing a tool on someone else's server. Free, read only, no account and no key. The register is a build artefact of a scheduled script with no editorial step, and it is archived with a DOI so a citation survives the repository moving.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Category
- Pending
- Primary Subcategory
- AI Output Verification & Grounding
- Secondary Subcategories
- None listed
- Brand
- HORIZON SHIELD
- Access
- No account required
- First tracked
- 2026-09-13
- Tool count
- 5
- Geography
- US
The broad Category that contains the Primary Subcategory.
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
ChatGPT Plugin Discovery Score
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What discovery looks like

Competing in ChatGPT AI Output Verification & Grounding
View Category5 tools agents can invoke
How do I improve a ChatGPT Plugin's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are MCP Conduct Register alternatives on ChatGPT?
As of 2026-09-13, MCP Conduct Register competes with Acumen by Talarion, Agora, AI Delivery Evidence Checker, Armature, Coval, Deep Research, Markup AI, Mnemom, Neura Relay MCP, NORMS: Evidence & Scope, Openlayer, OSuite.ai, Qu Review, Release Notes Coverage Checker, StudyArena in ChatGPT AI Output Verification & Grounding, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.