AI interview screening: create interviews from a JD, invite candidates, read evidence-backed scores.
Connect Remote server
claude mcp add --transport http gaugely https://gaugely.io/api/mcp/mcp --header "Authorization: Bearer <YOUR_API_KEY>"
{
"mcpServers": {
"gaugely": {
"url": "https://gaugely.io/api/mcp/mcp",
"headers": {
"Authorization": "Bearer <YOUR_API_KEY>"
}
}
}
}
{
"servers": {
"gaugely": {
"type": "http",
"url": "https://gaugely.io/api/mcp/mcp",
"headers": {
"Authorization": "Bearer <YOUR_API_KEY>"
}
}
}
}
Settings > Connectors > Add custom connector
URL: https://gaugely.io/api/mcp/mcp
Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.
Tools
This server asks for a key before it lists its tools. Connect it with your own key to see them.
Headers
| Name | Description |
|---|---|
AuthorizationOptional, secret | Optional: a Gaugely API key from Settings > API & integrations, sent as Bearer <key>. Clients that support OAuth can sign in instead. |
Details
| Endpoint | https://gaugely.io/api/mcp/mcp (Streamable HTTP) |
| First published | 13 Nov 2026 |
| Last updated | 13 Nov 2026 |
| Registry name | io.gaugely/gaugely |
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