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RAIL Score MCP Server

AI & Memory Local

Adds a responsible-AI safety layer to any agent by exposing RAIL Score's evaluation, agent-guardrail, and compliance capabilities as MCP tools, enabling content scoring, injection detection, tool call evaluation, and DPDP compliance checks.

Install from GitHub GitHub Docs Glama

How to connect

  1. Glama registry

    View https://glama.ai/mcp/servers/tr7amwlfgy for deploy options, or install from https://github.com/Responsible-AI-Labs/rail-score-mcp (see README for MCP config).

  2. GitHub

    Install from https://github.com/Responsible-AI-Labs/rail-score-mcp and add the server to your MCP client configuration (see repository README).

Tools

Tool names are not listed in our registry for this server. Use Connect or Install above, then open your MCP client to see the live tool list.