Loading…
Deterministic runtime enforcement of step order for AI agents: ALLOW/DENY before a step runs.
AgenticRail Gate - sequence enforcement and verifiable audit receipts for AI agent compliance is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 73/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding AgenticRail Gate - sequence enforcement and verifiable audit receipts for AI agent compliance to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
mcp add nz.agenticrail/gate https://mcp.agenticrail.nz/Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-09-26T20:19:36.629951Z",
"publishedAt": "2026-09-26T20:19:36.629951Z",
"statusChangedAt": "2026-09-26T20:19:36.629951Z"
}
},
"server": {
"name": "nz.agenticrail/gate",
"title": "AgenticRail Gate - sequence enforcement and verifiable audit receipts for AI agent compliance",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://mcp.agenticrail.nz/",
"type": "streamable-http"
}
],
"version": "1.3.0",
"repository": {
"id": "1327663357",
"url": "https://github.com/MSMD-RUA/agenticrail-mcp",
"source": "github"
},
"websiteUrl": "https://agenticrail.nz/docs/",
"description": "Deterministic runtime enforcement of step order for AI agents: ALLOW/DENY before a step runs."
}
}