# See repository for install instructions
{
"mcpServers": {
"airesponsibleailabs-rail-score": {
"command": "npx",
"args": []
}
}
}
{
"mcpServers": {
"airesponsibleailabs-rail-score": {
"command": "npx",
"args": []
}
}
}
{
"mcpServers": {
"airesponsibleailabs-rail-score": {
"command": "npx",
"args": []
}
}
}
TRY THIS MCP
About This MCP Server
The ai.responsibleailabs/rail-score server is a Model Context Protocol server that provides Responsible-AI guardrails for agents, enabling features such as scoring with policy, injection, and personally identifiable information detection, as well as data privacy and data protection. It connects to AI coding assistants to offer these capabilities remotely. Developers would use this server to integrate Responsible-AI functionality into their applications, particularly when they need to ensure that their AI agents operate within established policies and protect sensitive information.
Responsible-AI guardrails for agents: scoring with policy, injection & PII detection, DPDP.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with ai & machine learning capabilities via the streamable-http transport.
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the streamable-http transport.
What tools does it provide?
The rail-score server extends your AI assistant with ai & machine learning capabilities. Once installed, your AI can use its tools automatically.
