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Connect to Lusha MCP. Search and enrich B2B contacts and companies, find lookalikes, run prospecting searches, and access intent and activity signals from...

  • Acts as the user: Every tool call runs as the authorizing user. Access and audit trail stay intact.
  • Credentials stay vaulted: AES-256 encrypted, resolved at request time, never stored in LLM context.
  • Scoped before every call: Per-user permissions enforced automatically. 90-day audit trail included.
Lusha MCP
agent · Acme Q3
Run
Account Usage in Lusha MCP
S
lushamcp_account_usage
85ms
Lusha MCP agent
Retrieve account credit balance, rate-limit status, plan info, and per-action credit pricing..
Sources: Lusha MCP
lushamcpmcp
1 tool call
18:29
Message Claude...

Tools your agent reaches for on Lusha, scoped per user.

CALL ANY TOOL
Search, enrich, and find lookalike B2B contacts and companies, billed to the requesting user.
lushamcp_account_usage
Account usage
Retrieve account credit balance, rate-limit status, plan info, and per-action credit pricing.
Parameters
Name
Type
Required
Description
conversation_id
string
Optional
Conversation correlation ID. Present only when an earlier tool response in this conversation returned one; that value is carried unchanged on subsequent calls. Omitted on the first call.
reason_for_invocation
string
Optional
Brief explanation of why you chose this tool for the current task. Optional audit field; max 500 characters (longer values are truncated). Plain text only.
lushamcp_companies_search
Search companies
lushamcp_contacts_search
Search contacts
lushamcp_lookalike_companies
Lookalike companies
lushamcp_lookalike_contacts
Lookalike contacts
lushamcp_prospecting_company_enrich
Prospecting company enrich
lushamcp_prospecting_company_filters
Prospecting company filters
lushamcp_prospecting_company_search
Search prospecting company
lushamcp_prospecting_contact_enrich
Prospecting contact enrich
lushamcp_prospecting_contact_filters
Prospecting contact filters
lushamcp_prospecting_contact_search
Search prospecting contact
lushamcp_prospecting_search_guide
Prospecting search guide
lushamcp_signals_companies_get
Get signals companies
lushamcp_signals_companies_search
Search signals companies
lushamcp_signals_company_filters
Signals company filters
lushamcp_signals_contact_filters
Signals contact filters
lushamcp_signals_contacts_get
Get signals contacts
lushamcp_signals_contacts_search
Search signals contacts
Build your Agent
Same auth pattern across LangChain, OpenAI, Anthropic, and Google ADK.
Python · LlamaIndex
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="lushamcp")

mcp = MultiServerMCPClient({
"lushamcp": {
"url": "https://mcp.scalekit.com/lushamcp",
"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: "lushamcp" });

const openai = new OpenAI();
// Connect to MCP at https://mcp.scalekit.com/lushamcp
// Pass: Authorization: Bearer + token
import 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: "lushamcp" });

const anthropic = new Anthropic();
// Connect to MCP at https://mcp.scalekit.com/lushamcp
// Pass: Authorization: Bearer + token
from 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="lushamcp")
# Connect to MCP at https://mcp.scalekit.com/lushamcp
# Pass: Authorization: Bearer + token
Try these prompts
Copy any prompt into your agent. Each maps directly to a Lusha tool. Click to copy, paste into your agent, done.
Get started
Copy the prompt
Copied
Resolve contacts by LinkedIn URL, email, or name and return their recent activity signals?
Copy the prompt
Copied
Return recent activity signals (promotions, company changes) for known Lusha contact IDs?
Advanced
Copy the prompt
Copied
Return available contact signal types accepted by contacts signals tools?
Copy the prompt
Copied
Reveal emails and phone numbers for one or more Lusha contact IDs?
SEE HOW AUTH WORKS
Your users connect once. Their Lusha credentials stay vaulted, every call is scope-checked, and every action is logged.
1
Authorize
Your user connects
Lusha MCP
once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access
Who:
user ‘A’
when:
Once per user
access:
Limited to user
2
Store
Their
Lusha MCP
token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection
vault:
encrypted
scope:
per-user
tokens:
auto-refreshed
3
Resolve
When your agent calls a
Lusha MCP
tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs
speed:
~40ms
check:
before every call
seen by:
nobody
4
Audit
Every
Lusha MCP
tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it
history:
90 days
export:
SIEM-ready
logged:
every call
Test other agents
See the same per-user auth pattern across other connectors.
GTM and RevOps Teams
Outbound prospecting agent
Searches Apollo for prospects matching your ICP, scores and ranks them, drafts personalized outreach in Gmail, and logs every send to Google Sheets. Mail goes out as the rep, not from a shared inbox.
GTM and RevOps Teams
CRM AI agent
Reads the Granola transcript after every call, extracts next steps and updates the HubSpot record, drafts the follow-up in Gmail, and confirms in Slack, all on the rep's own delegated OAuth.
GTM and RevOps Teams
Deal intelligence agent
Pulls recent Gong calls, scores deal risk with an LLM, cross-references the record in Attio, and DMs each owner their at-risk deals in Slack. Every read is scoped to that rep's own access.
GTM and RevOps Teams
Competitive intelligence briefing agent
Scans Gong calls for competitor mentions, matches each one to its Notion battlecard, and DMs every affected rep a single Slack digest per cycle. Every call runs as the PMM who owns the briefing, never a shared bot.
Test other agents
See the same per-user auth pattern across other connectors.
SALES
Outbound prospecting agent
Search Apollo for ICP matches, rank them, draft personalised Gmail outreach, and log every send to Google Sheets.
GTM
CRM AI agent
Turn each Granola call transcript into a HubSpot record update, a drafted Gmail follow-up, and a Slack recap.
SALES
Deal intelligence agent
Score Gong call risk with an LLM, cross-reference the Attio record, and DM each owner their at-risk deals in Slack.
GTM
Competitive intelligence briefing agent
Scan Gong calls for competitor mentions, match each one to its Notion battlecard, and DM every affected rep a single Slack digest.
Why Scalekit
Secure your agent's access. Connectors ship in minutes
01.
Shared tokens break per-user analytics
A shared token looks fine in a demo. In production every call looks like a service account. Scalekit resolves the real user credential.
// shared token
audit → bot_service_account

// scalekit
audit → user_abc ✓
02.
Authentication is not authorization
03.
Multi-tenancy is architectural
04.
One connector today. Ten tomorrow.
“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”
Venu Madhav Kattagoni
Head of Engineering / Von
FAQs
Frequently Asked Questions

Does the agent access Lusha as the user or as a shared key?
As the user. Each workspace member authorizes once and Scalekit resolves their credential at request time. Audit logs attribute every action to that user, not a shared service account.

Where is the Lusha API key stored?
In Scalekit's managed AES-256 token vault, namespaced per tenant. Refresh is automatic. Revocation is a single dashboard action. Tokens never appear in prompts, logs, or LLM context.

Can I limit what the agent is allowed to do in Lusha?
Yes. Pass a tool name filter to listScopedTools so the marketing agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Lusha.

What happens when a user revokes Lusha access?
The connection is invalidated on the next tool call. Subsequent requests for that user fail closed with a clear error. Other users in the tenant remain unaffected. The event is logged for audit.

Whose Lusha credits do contact enrichments spend?
The authorizing user's. Contact and company searches, lookalikes, and intent signals draw from that user's Lusha quota, so prospecting spend maps to the rep who triggered it.

Start in your coding agent
Up and running in one command
Install the Scalekit skill in your editor of choice. Connector, auth, tools, prompt, all wired up
Claude Code REPL
/plugin marketplace add scalekit-inc/claude-code-authstack
/plugin install agentkit@scalekit-auth-stack
Cursor Code REPL
# ~/.cursor/mcp.json
{
""mcpServers"": {
""lushamcp"": {
""url"": ""https://mcp.scalekit.com/lushamcp"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.lushamcp]
url = ""https://mcp.scalekit.com/lushamcp""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""lushamcp"": {
""url"": ""https://mcp.scalekit.com/lushamcp"",
""type"": ""http""
}
}
}