LeadIQ MCP

Live

OAUTH 2.1

B2B PROSPECTING

CRM & Sales

LeadIQ MCP gives agents authenticated access to B2B prospecting: find leads by ICP, enrich verified emails and phones, and build prospect lists.

  • Per-user credentials: each call uses the actual user's token, never a shared bot.
  • Encrypted per-tenant vault: AES-256, resolved at request time, never in LLM context.
  • Scoped before every call: pre-call scope check, 90-day SIEM-exportable audit chain.
LeadIQ MCP
agent · Acme Q3
Run
Find VP Sales at Series B SaaS companies in the US and verify their emails.
S
leadiqmcp_find_people
88ms
LeadIQ agent
Found 42 VP Sales matches at Series B SaaS companies. 31 have verified work emails, 18 have direct phones. Top match: VP Sales at a 210-person fintech, email Verified.
Sources: 42 profiles, 31 verified emails
leadiqmcp
42 profiles
18:29
Message Claude...

Tools your prospecting agent reaches for on LeadIQ, scoped per user.

CALL ANY TOOL
Run B2B prospecting end to end: discover leads by ICP, enrich contacts and companies, verify emails, and manage prospect lists.
leadiqmcp_find_people
Find people
Discover new leads matching ICP criteria: filter by title, seniority, industry, technology stack, company size, revenue, funding, and location. Default cost 0.1 UC per person.
Parameters
Name
Type
Required
Description
input
object
Required
Search filters for people discovery.
unlockCompany
boolean
Optional
Unlock company firmographics for each result (3 UC per person). Default false, requires user consent.
leadiqmcp_enrich_people
Enrich people
leadiqmcp_enrich_companies
Enrich companies
leadiqmcp_find_companies
Find companies
leadiqmcp_find_job_changes
Find job changes
leadiqmcp_verify_email
Verify email
leadiqmcp_add_prospect_to_list
Add prospect to list
leadiqmcp_check_credits
Check credits
Build your Agent
Same auth pattern across LangChain, OpenAI, Anthropic, and Google ADK.
Python · LlamaIndex
import { ScalekitClient } from "@scalekit-sdk/node";
import { createReactAgent } from "@langchain/langgraph/prebuilt";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);

// LeadIQ tools scoped to this user
const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["leadiqmcp"], toolNames: [
    "leadiqmcp_find_people",
    "leadiqmcp_enrich_people",
    "leadiqmcp_verify_email"] },
  pageSize: 100,
});

const agent = createReactAgent({ llm, tools });
await agent.invoke({ messages: [{ role: "user", content: "Find VP Sales at Series B SaaS companies." }] });
import OpenAI from "openai";
import { ScalekitClient } from "@scalekit-sdk/node";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);
const openai = new OpenAI();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["leadiqmcp"] }, pageSize: 100,
});

const res = await openai.chat.completions.create({
  model: "gpt-5",
  messages: [{ role: "user", content: "Verify the emails on my Q3 prospect list." }],
  tools,
});

// Execute the tool call with the user's vaulted LeadIQ credential
await sk.tools.executeTool(res.choices[0].message.tool_calls[0], "user_123");
import Anthropic from "@anthropic-ai/sdk";
import { ScalekitClient } from "@scalekit-sdk/node";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);
const anthropic = new Anthropic();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["leadiqmcp"] }, pageSize: 100,
});

const msg = await anthropic.messages.create({
  model: "claude-sonnet-5",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Enrich these 10 LinkedIn profiles with work emails." }],
  tools,
});

// Tool call runs with the user's vaulted LeadIQ credential
await sk.tools.executeTool(msg.content, "user_123");
import { Agent } from "@google/adk/agents";
import { ScalekitClient } from "@scalekit-sdk/node";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["leadiqmcp"] }, pageSize: 100,
});

const agent = new Agent({
  name: "leadiq_prospecting_agent",
  model: "gemini-2.5-pro",
  instruction: "Run B2B prospecting in LeadIQ for the signed-in user.",
  tools,
});

await agent.run("Who changed jobs in my target accounts this quarter?");
Try these prompts
Copy any prompt into your agent. Each maps directly to a LeadIQ tool. Click to copy, paste into your agent, done.
Find new leads
Copy the prompt
Copied
Find VP Sales at Series B SaaS companies in the US.
Copy the prompt
Copied
Discover fintech companies with 100 to 500 employees using Salesforce.
Copy the prompt
Copied
Who changed jobs in my target accounts this quarter?
Enrich and verify
Copy the prompt
Copied
Enrich these 10 LinkedIn profiles with work emails and direct phones.
Copy the prompt
Copied
Pull firmographics and funding data for acme.com and globex.com.
Copy the prompt
Copied
Verify the emails on my Q3 prospect list before the send.
Manage prospect lists
Copy the prompt
Copied
Create a prospect list called Q3 outbound and add these 5 leads.
Copy the prompt
Copied
Search my saved prospects for anyone at Acme before creating duplicates.
Copy the prompt
Copied
Check my credit balance before running the enrichment batch.
SEE HOW AUTH WORKS
Your users connect once. Their LeadIQ credentials stay vaulted, every call is scope-checked, and every action is logged.
1
Authorize
Your user connects
LeadIQ 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
LeadIQ 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
LeadIQ 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
LeadIQ 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 prospecting connectors.
SALES
Outbound prospecting agent
Build targeted prospect lists with Apollo, enrich with firmographic data, and draft personalised outreach. Runs on a schedule.
GTM
CRM AI agent
Log calls, update opportunity stages, and surface stalled deals across HubSpot or Salesforce. No manual data entry.
Why Scalekit
Secure your agent's access. Connectors ship in minutes
Other connector libraries treat auth as a demo afterthought. Scalekit starts with identity, scope enforcement, and audit. Connectors follow.
01.
Shared tokens break per-user analytics
A shared LeadIQ token looks fine in a demo. In production every enrichment burns credits under one service account, and you cannot tell which rep unlocked which contact. Scalekit resolves the credential of the actual user who triggered the agent, so credit spend and prospect data are attributed to a real person, never a shared bot.
// shared token
audit → bot_service_account

// scalekit
audit → user_abc ✓
02.
Authentication is not authorization
03.
Multi-tenancy is architectural
04.
LeadIQ today. Ten connectors 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 LeadIQ as the user or through a shared key?
As the user. Scalekit resolves the credential of the person who triggered the agent at request time, so every search, enrichment, and credit unlock in your audit trail is attributed to a real user, not a shared service account.
Where is the LeadIQ token stored?
In an AES-256 encrypted vault with per-tenant namespacing. Tokens are resolved at request time, never enter LLM context, refresh automatically under OAuth 2.1, and can be revoked from one dashboard.
Can I limit what the agent does in LeadIQ?
Yes. Filter by tool name in listScopedTools to expose only what you want, for example email verification and list reads without paid enrichment calls. Scalekit also enforces scope checks before every API call.
What happens when a user revokes access?
The credential is invalidated at the next tool call. The call fails closed, other users' connections are unaffected, and the revocation is logged in the audit chain.
How do I keep an agent from burning LeadIQ credits?
Enrichment tools like enrich_people and find_companies consume LeadIQ credits per unlock. Scope the agent to free tools by default via listScopedTools, expose check_credits so it quotes costs first, and gate paid unlocks behind explicit user consent. Every unlock is attributed per user in the audit chain.
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"": {
""leadiqmcp"": {
""url"": ""https://mcp.scalekit.com/leadiqmcp"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.leadiqmcp]
url = ""https://mcp.scalekit.com/leadiqmcp""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""leadiqmcp"": {
""url"": ""https://mcp.scalekit.com/leadiqmcp"",
""type"": ""http""
}
}
}