LeadIQ

Live

API KEY

PROSPECTING

CRM & Sales

Every verified contact, company insight, and buyer signal your team captures lives in LeadIQ. LeadIQ MCP gives your agent authenticated access to prospecting data scoped to the user who authorized it.

  • Acts as the user: Access and write actions stay tied to the LeadIQ account that authorized the agent.
  • Credentials stay vaulted: AES-256, resolved at request time, never in LLM context.
  • Scoped before every call: User permissions enforced. 90-day audit trail.
LeadIQ
agent · Acme Q3
Run
Find all VP of Engineering prospects at Series B fintech companies with verified email.
S
leadiq_prospects_search
88ms
Prospecting agent
14 prospects found. Top: James Park (VP Eng, FinFlow, james@finflow.io, 180 employees), Sarah Chen (VP Eng, PayStack Pro, verified), Maria Santos (VP Eng, LoanBridge, verified). All have LinkedIn confirmed.
Sources: 14 prospects, Series B fintech
leadiqmcp
14 prospects
18:29
Message Claude...

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

CALL ANY TOOL
Search and enrich prospects, get company data, track accounts, and surface buyer signals.
leadiq_search_people
Search people
Search for a person by LinkedIn URL, email, or name + company. At least one of: linkedin_url, email, or first_name+last_name must be provided. Returns verified work emails, direct dials, and current job details. Consumes LeadIQ credits per result.
Parameters
Name
Type
Required
Description
company_domain
string
Optional
Domain of the person's current company
company_name
string
Optional
Current company name of the person
contains_work_contact_info
boolean
Optional
Only return results that have at least one work email or work phone
email
string
Optional
Known email address of the person
first_name
string
Optional
First name of the person to search for
full_name
string
Optional
Full name of the person (alternative to first_name + last_name)
last_name
string
Optional
Last name of the person to search for
limit
integer
Optional
Maximum number of results to return (default 10, max 25)
linkedin_url
string
Optional
LinkedIn profile URL of the person
skip
integer
Optional
Number of results to skip for pagination (default 0)
leadiq_get_list
Get list
leadiq_search_company
Search company
leadiq_get_lists
Get lists
leadiq_search_people_preview
Search people preview
leadiq_get_usage
Get usage
leadiq_create_list
Create list
leadiq_get_account
Get account
leadiq_add_prospect_to_list
Add prospect to list
leadiq_get_company
Get company
leadiq_flat_advanced_search
Flat advanced search
leadiq_get_prospect
Get prospect
leadiq_submit_person_feedback
Submit person feedback
leadiq_grouped_advanced_search
Grouped advanced search
Build your Agent
Drop the toolkit in, point it at the user, and your prospecting agent can use LeadIQ from the first run.
Python · LlamaIndex
import { ScalekitClient } from "@scalekit-sdk/node";
import { DynamicStructuredTool } from "@langchain/core/tools";
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { z } from "zod";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);

const { tools } = await sk.tools.listScopedTools("user_123", {
filter: { connectionNames: ["leadiq"], toolNames: ["leadiq_prospects_search", "leadiq_contact_enrich", "leadiq_company_get"] },
pageSize: 100,
});

const lcTools = tools.map((t) => new DynamicStructuredTool({
name: t.tool.definition.name,
description: t.tool.definition.description,
schema: z.object({}).passthrough(),
func: async (args) => {
const { data } = await sk.tools.executeTool({
toolName: t.tool.definition.name,
identifier: "user_123",
params: args,
});
return JSON.stringify(data);
},
}));

const agent = createReactAgent({ llm, tools: lcTools });
import { ScalekitClient } from "@scalekit-sdk/node";
import OpenAI from "openai";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const openai = new OpenAI();

const { tools } = await sk.tools.listScopedTools("user_123", {
filter: { connectionNames: ["leadiq"], toolNames: ["leadiq_prospects_search", "leadiq_contact_enrich", "leadiq_company_get"] },
pageSize: 100,
});

const llmTools = tools.map((t) => ({
type: "function",
function: {
name: t.tool.definition.name,
description: t.tool.definition.description,
parameters: t.tool.definition.input_schema,
},
}));

const resp = await openai.responses.create({
model: "gpt-4o", input: prompt, tools: llmTools,
});
import { ScalekitClient } from "@scalekit-sdk/node";
import Anthropic from "@anthropic-ai/sdk";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const anthropic = new Anthropic();

const { tools } = await sk.tools.listScopedTools("user_123", {
filter: { connectionNames: ["leadiq"], toolNames: ["leadiq_prospects_search", "leadiq_contact_enrich", "leadiq_company_get"] },
pageSize: 100,
});

const llmTools = tools.map((t) => ({
name: t.tool.definition.name,
description: t.tool.definition.description,
input_schema: t.tool.definition.input_schema,
}));

const msg = await anthropic.messages.create({
model: "claude-sonnet-4-6", max_tokens: 1024,
tools: llmTools,
messages: [{ role: "user", content: prompt }],
});
import { Agent } from "@google/adk/agents";
import {
MCPToolset, StreamableHTTPConnectionParams,
} from "@google/adk/tools/mcp";

const toolset = new MCPToolset({
connectionParams: new StreamableHTTPConnectionParams({
url: "https://mcp.scalekit.com/leadiq",
headers: { Authorization: `Bearer ${userScopedToken}` },
}),
});

const agent = new Agent({
name: "agent", model: "gemini-2.0-flash",
tools: await toolset.getTools(),
});
Try these prompts
Paste any prompt into your agent to start using LeadIQ.
Prospecting
Copy the prompt
Copied
Find VP of Engineering prospects at Series B companies.
Copy the prompt
Copied
Enrich contact [email] with company data.
Copy the prompt
Copied
Search for [title] at [company].
Copy the prompt
Copied
Get company profile for [domain].
Signals & tracking
Copy the prompt
Copied
Which tracked accounts have job change signals this week?
Copy the prompt
Copied
Add [company] to tracking list.
Copy the prompt
Copied
Find new hires at [account] this month.
Copy the prompt
Copied
Which accounts have expansion signals?
Reporting
Copy the prompt
Copied
How many enrichments used this month?
Copy the prompt
Copied
Top 10 prospects by fit score.
Copy the prompt
Copied
Find prospects at companies hiring for [role].
Copy the prompt
Copied
List tracked accounts with no signals in 30 days.
SEE HOW AUTH WORKS
Users authorize LeadIQ once. Their credentials stay vaulted, every call is checked, and every action is logged.
1
Authorize
Your user connects
LeadIQ
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
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
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
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
Same per-user auth pattern across other prospecting agents and MCP connectors. Working code, live demos, fork what fits.
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
Same per-user auth pattern across other prospecting agents and MCP connectors. Working code, live demos, fork what fits.
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 so attribution, audit, and scope stay accurate.
// shared token
 audit → bot_service_account
 user_filter → broken

 // scalekit
 audit → user_abc
 scope → enforced ✓
02.
Authentication is not authorization
03.
Multi-tenancy is architectural
04.
LeadIQ today. Others 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 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 LeadIQ 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 LeadIQ?
Yes. Pass a tool name filter to listScopedTools so the prospecting agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches LeadIQ.
What happens when a user revokes LeadIQ 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.
Do enrichment credits apply per user or are they shared across the workspace?
Credit usage applies to the account the authorizing user's API key belongs to. Scalekit does not pool or share credits across tenants. Each connected account tracks its own LeadIQ usage independently.
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"": {
""leadiq"": {
""url"": ""https://mcp.scalekit.com/leadiq"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.leadiq]
url = ""https://mcp.scalekit.com/leadiq""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""leadiq"": {
""url"": ""https://mcp.scalekit.com/leadiq"",
""type"": ""http""
}
}
}