Server data from the Official MCP Registry
Verifiable random decisions, audit sampling, fair selection, and proof verification using QnEvt.
Verifiable random decisions, audit sampling, fair selection, and proof verification using QnEvt.
Remote endpoints: streamable-http: https://qnevt.com/mcp
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.
This plugin requests these system permissions. Most are normal for its category.
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-github-nanakabu-qnevt": {
"url": "https://qnevt.com/mcp"
}
}
}From the project's GitHub README.
QnEvt is the public documentation home for a verifiable randomness and proof system.
The project exists for one practical reason: when randomness affects a security-sensitive, auditable, or fairness-sensitive workflow, the process should leave behind evidence that can be checked later. QnEvt focuses on proof records, deterministic verification, public API contracts, security boundaries, and integration guidance.
中文文档见 README_ZH.md.
This repository is the project-level documentation and protocol repository. It is not the place for production server source, private deployment configuration, or hardware firmware internals.
Published here:
Published elsewhere:
Intentionally private:
Start here:
QnEvt does not ask users to trust hidden randomness blindly. A proof should preserve enough information for later checking:
Raw secrets and private datasets should remain local unless the user intentionally publishes them.
QnEvt public documentation, schemas, and API contracts in this repository are released under the Apache License 2.0. See LICENSE and Licensing.
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