MCP-native AI evaluation: rubric audits, eval suites, and proof reports for AI/LLM output.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add --transport http rubrkit https://www.rubrkit.com/api/v1/mcp~/.codex/config.toml
[mcp_servers.rubrkit]
url = "https://www.rubrkit.com/api/v1/mcp"
# codex mcp add rubrkit --url https://www.rubrkit.com/api/v1/mcp~/.cursor/mcp.json
{
"mcpServers": {
"rubrkit": {
"url": "https://www.rubrkit.com/api/v1/mcp"
}
}
}.vscode/mcp.json
{
"servers": {
"rubrkit": {
"type": "http",
"url": "https://www.rubrkit.com/api/v1/mcp"
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"rubrkit": {
"httpUrl": "https://www.rubrkit.com/api/v1/mcp"
}
}
}claude_desktop_config.json · Customize › Connectors › Add custom connector
{
"mcpServers": {
"rubrkit": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://www.rubrkit.com/api/v1/mcp"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"rubrkit": {
"url": "https://www.rubrkit.com/api/v1/mcp"
}
}
}