API KEY
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Give your agent per-user access to Lemlist — so it can launch sequences, enrich leads, and track replies tied to the account owner who authorized it.
For more tools, view docs.
from langchain_mcp_adapters.client import MultiServerMCPClient
from scalekit import ScalekitClient
client = ScalekitClient(env_url=ENV_URL, client_id=CLIENT_ID, client_secret=SECRET)
token = client.agent.get_token(user_id="user_id", connector="lemlistmcp")
mcp = MultiServerMCPClient({
"lemlistmcp": {
"url": "https://mcp.scalekit.com/lemlistmcp",
"headers": {"Authorization": "Bearer " + token}
}
})
tools = await mcp.get_tools()import OpenAI from "openai";
import { ScalekitClient } from "@scalekit-sdk/node";
const client = new ScalekitClient({ envUrl, clientId, clientSecret });
const token = await client.agent.getToken({ userId: "user_id", connector: "lemlistmcp" });
const openai = new OpenAI();
// Connect to MCP at https://mcp.scalekit.com/lemlistmcp
// Pass: Authorization: Bearer + tokenimport Anthropic from "@anthropic-ai/sdk";
import { ScalekitClient } from "@scalekit-sdk/node";
const client = new ScalekitClient({ envUrl, clientId, clientSecret });
const token = await client.agent.getToken({ userId: "user_id", connector: "lemlistmcp" });
const anthropic = new Anthropic();
// Connect to MCP at https://mcp.scalekit.com/lemlistmcp
// Pass: Authorization: Bearer + tokenfrom google.adk.agents import LlmAgent
from scalekit import ScalekitClient
client = ScalekitClient(env_url=ENV_URL, client_id=CLIENT_ID, client_secret=SECRET)
token = client.agent.get_token(user_id="user_id", connector="lemlistmcp")
# Connect to MCP at https://mcp.scalekit.com/lemlistmcp
# Pass: Authorization: Bearer + token// shared key
audit → bot_service_account
// scalekit
audit → rep_alice ✓