# Sales Intelligence MCP — B2B Leads & Enrichment for Agents (`nexgendata/sales-intelligence-mcp`) Actor

MCP server exposing B2B lead finding, company enrichment, email discovery and funding tracking as 10 agent tools. Connect Claude, Cursor, n8n or the OpenAI Agents SDK.

- **URL**: https://apify.com/nexgendata/sales-intelligence-mcp.md
- **Developed by:** [NexGenData](https://apify.com/nexgendata) (community)
- **Categories:** MCP servers, AI, Lead generation
- **Stats:** 7 total users, 4 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 tool calls

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Sales Intelligence MCP

A Model Context Protocol server that gives AI agents B2B sales data — lead finding, company enrichment, email discovery, tech-stack detection and funding tracking — as callable tools. For sales, prospecting and BD agents.

### 🛠 Tools (10)

- `aggregate_company_profile` — Aggregate a full company profile.
- `detect_hiring_signal` — Surface hiring-activity indicators for a company.
- `detect_tech_stack` — Detect a company's technology stack.
- `enrich_company` — Enrich a company record.
- `enrich_lead_list` — Enrich a list of leads.
- `find_b2b_leads` — Find B2B leads by criteria.
- `find_company_emails` — Find company email addresses.
- `find_yc_companies` — Find Y Combinator companies.
- `search_linkedin_jobs` — Search LinkedIn job postings.
- `track_startup_funding` — Track startup funding rounds.

### 🔌 Connect (Claude Desktop / Cursor / n8n / OpenAI Agents SDK)

Add this MCP server to your client config:

```json
{
  "mcpServers": {
    "sales-intelligence": {
      "url": "https://nexgendata--sales-intelligence-mcp.apify.actor/mcp"
    }
  }
}
```

**Sample agent prompt:**

```
Find B2B leads at Series-A startups hiring engineers, then enrich the list with emails.
```

**Pricing:** $2.00 per tool call (Pay-Per-Event). Runs in Standby mode. Priced for agent workflows — a typical prospecting loop runs many calls.

***

### Related NexGenData actors

- [B2B Leads Finder — by Job Title, Industry & Location](https://apify.com/nexgendata/b2b-leads-finder) — discover net-new prospects by ICP filters.
- [Company Enrichment — Bulk Domain to Firmographics & Tech Stack](https://apify.com/nexgendata/company-enrichment-tool) — enrich a list of domains in bulk.
- [Website Contact Scraper — Emails & Phones from a URL List](https://apify.com/nexgendata/contact-info-scraper) — pull contacts off a list of websites.
- [LinkedIn Jobs Scraper — No Login, by Keyword & Location](https://apify.com/nexgendata/linkedin-jobs-scraper) — public LinkedIn job postings as hiring-intent data.
- [Company Email Finder — B2B Contact Scraper](https://apify.com/nexgendata/company-email-finder) — decision-maker emails on a known domain.

# Actor input Schema

## `debug` (type: `boolean`):

Enable verbose logging in the MCP server stdout. Helpful when wiring a new AI client (Claude Desktop, Cursor, n8n) and you want to see every tool invocation. Leave off in production.

## `maxToolCallSeconds` (type: `integer`):

Maximum time a single MCP tool invocation may run before the server aborts it and returns a timeout error to the AI client. Increase only if your agent issues unusually long-running tool calls (e.g. large bulk scrapes).

## Actor input object example

```json
{
  "debug": false,
  "maxToolCallSeconds": 90
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "debug": false,
    "maxToolCallSeconds": 90
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/sales-intelligence-mcp").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "debug": False,
    "maxToolCallSeconds": 90,
}

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/sales-intelligence-mcp").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "debug": false,
  "maxToolCallSeconds": 90
}' |
apify call nexgendata/sales-intelligence-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=nexgendata/sales-intelligence-mcp",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/xfesWUUfRPGnwQdOk/builds/ae0ALmOEwdZYgSCko/openapi.json