Pay-per-call AI evaluation MCP server. Score LLM outputs against benchmark rubrics via Workers AI.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add --transport http eval-engine-api https://eval.zuluworksai.com/mcp~/.codex/config.toml
[mcp_servers.eval-engine-api]
url = "https://eval.zuluworksai.com/mcp"
# codex mcp add eval-engine-api --url https://eval.zuluworksai.com/mcp~/.cursor/mcp.json
{
"mcpServers": {
"eval-engine-api": {
"url": "https://eval.zuluworksai.com/mcp"
}
}
}.vscode/mcp.json
{
"servers": {
"eval-engine-api": {
"type": "http",
"url": "https://eval.zuluworksai.com/mcp"
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"eval-engine-api": {
"httpUrl": "https://eval.zuluworksai.com/mcp"
}
}
}claude_desktop_config.json · Customize › Connectors › Add custom connector
{
"mcpServers": {
"eval-engine-api": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://eval.zuluworksai.com/mcp"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"eval-engine-api": {
"url": "https://eval.zuluworksai.com/mcp"
}
}
}