Rail Score is a Model Context Protocol (MCP) server: Responsible-AI guardrails for agents: scoring with policy, injection & PII detection, DPDP. As an MCP server it plugs straight into AI assistants, exposing its functionality as tools the model can invoke on your behalf.
It's a hosted (remote) server — point your client at https://mcp.responsibleailabs.ai/mcp and you're connected, with nothing to install locally. The current release is v1.1.1, published under the MIT license, with source at Responsible-AI-Labs/rail-score-mcp on GitHub.
You'll find Rail Score in the AI & Agents category here on mcp.site; it connects to Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed, and any other MCP client — see the install snippets below. If you maintain Rail Score for responsibleailabs.ai, claim this listing to verify ownership, earn the Verified badge, and keep the details current.
