QnEvt Verifiable Randomness MCP
Server Details
Verifiable random decisions, audit sampling, fair selection, and proof verification using QnEvt.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- NanaKabu/QnEvt
- GitHub Stars
- 1
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
7 tool updates
- First observed
qnevt_audit_sample - First observed
qnevt_fair_select - First observed
qnevt_get_proof - First observed
qnevt_list_agent_proofs - First observed
qnevt_list_public_proofs - First observed
qnevt_tie_break - First observed
qnevt_verify_proof
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/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
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{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
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Glama MCP Gateway
Add one secure layer between your agents and this server.
TDQS
Each tool has a distinct purpose: sampling, fair selection, tie-breaking, proof retrieval, listing agent/public proofs, and verification. Even though fair_select and tie_break both involve picking from options, their contexts differ clearly.
All tools follow the consistent pattern `qnevt_<verb>_<noun>` with underscores, using descriptive verbs like audit, fair_select, get, list, tie_break, verify.
Seven tools cover the essential operations of generating, listing, retrieving, and verifying randomness proofs without being excessive or insufficient.
The toolset covers core lifecycle: random generation (sampling, selection, tie-breaking), proof management (list, get), and verification, with no obvious gaps for a verifiable randomness server.