Unlike hem_to_linkedin, this tool applies additional scoring to return the highest-confidence LinkedIn match when multiple candidates exist.
β
Parameters
Field | Type | Required | Description |
|
| β | Must be |
|
| β | MD5 hash of the email address (32 hex chars) |
|
| β | Plaintext email address (will be normalized and hashed) |
Pass either md5 or email.
Request
curl --request POST \
--url https://app.moltsets.com/mcp/ \
--header 'Authorization: Bearer YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "hem_to_best_linkedin",
"arguments": {
"md5": "5d41402abc4b2a76b9719d91101XXXXX", // or email
"email": "john-smith-123@example.com" // or md5
}
}
}'
Response
{
"jsonrpc": "2.0",
"id": null,
"result": {
"content": [
{
"type": "text",
"text": "{\"id\":\"XXXXXXXX\",\"name\":\"RB2B\",\"status\":\"active\",\"plan\":\"free\",\"credit_balance\":250,\"unlimited\":false,\"api_key_count\":2,\"user_count\":1,\"created_at\":\"2026-04-15T13:55:29Z\"}"
}
],
"isError": false
}
}