Responsible-AI guardrails for agents: scoring with policy, injection & PII detection, DPDP.
Install
Run one of the commands below, then add the client config underneath.
https://mcp.responsibleailabs.ai/mcpClient configuration
Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.
{
"mcpServers": {
"rail-score": {
"url": "https://mcp.responsibleailabs.ai/mcp"
}
}
}About this server
Rail Score is listed in the AI Agents category of the MCPNav directory. It is distributed as Streamable HTTP and can be loaded by any client that speaks the Model Context Protocol.
Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.
Frequently asked questions
What is the Rail Score MCP server?＋
Rail Score is an MCP server by responsibleailabs. Responsible-AI guardrails for agents: scoring with policy, injection & PII detection, DPDP.
How do I install Rail Score?＋
Install it with: https://mcp.responsibleailabs.ai/mcp. Then add the JSON config to your client's MCP settings and restart the client.
Is Rail Score free to use?＋
The MCP server itself is free to install. The source is public on https://github.com/Responsible-AI-Labs/rail-score-mcp. Any third-party API it calls (such as a search or maps API) may require its own key and billing.
Which clients support Rail Score?＋
Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.