Run AI agent evaluations on your own model keys, and publish runs others can review and re-run.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add --transport http daishi-studio https://daishi.ai/mcp/studio~/.codex/config.toml
[mcp_servers.daishi-studio]
url = "https://daishi.ai/mcp/studio"
# codex mcp add daishi-studio --url https://daishi.ai/mcp/studio~/.cursor/mcp.json
{
"mcpServers": {
"daishi-studio": {
"url": "https://daishi.ai/mcp/studio"
}
}
}.vscode/mcp.json
{
"servers": {
"daishi-studio": {
"type": "http",
"url": "https://daishi.ai/mcp/studio"
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"daishi-studio": {
"httpUrl": "https://daishi.ai/mcp/studio"
}
}
}claude_desktop_config.json · Customize › Connectors › Add custom connector
{
"mcpServers": {
"daishi-studio": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://daishi.ai/mcp/studio"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"daishi-studio": {
"url": "https://daishi.ai/mcp/studio"
}
}
}