ai.responsibleailabs/rail-score
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Publisher-provided description
Responsible-AI guardrails for agents: scoring with policy, injection & PII detection, DPDP.
Summary by lookupd
Lets agents score content for responsible-AI policy compliance and detect prompt injection and PII before acting on it.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http rail-score https://mcp.responsibleailabs.ai/mcp
Codex, remote (streamable-http)
codex mcp add rail-score --url https://mcp.responsibleailabs.ai/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"rail-score": {
"url": "https://mcp.responsibleailabs.ai/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Details
- Version: 1.1.1
- Transports: streamable-http
- Uptime (7 days): 0%
- First indexed:
- Last seen in registry:
- Repository: https://github.com/Responsible-AI-Labs/rail-score-mcp
- Website: https://responsibleailabs.ai
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