# Company Intelligence MCP — Company Profiles & Funding for AI (`memo23/company-intelligence-mcp`) Actor

Give your AI agent instant access to 100,000+ Crunchbase-grade company profiles and funding rounds over MCP. Search by name, country, employee size or status; pull full profiles — people, tech stack, funding, growth signals — plus funding-round data. No query-time scraping; pay per call.

- **URL**: https://apify.com/memo23/company-intelligence-mcp.md
- **Developed by:** [Muhamed Didovic](https://apify.com/memo23) (community)
- **Categories:** MCP servers, AI, Agents
- **Stats:** 1 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 company search (per query)s

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

## Company Intelligence MCP Server

A [Model Context Protocol](https://modelcontextprotocol.io/) (MCP) server running as an [Apify Standby actor](https://docs.apify.com/platform/actors/development/programming-interface/standby). It gives AI agents (Claude, Cursor, custom agents — any MCP client) instant, structured access to a company-intelligence warehouse:

- **100,000+ company profiles** — identity, location, website, employee range, operating/IPO status, funding totals, tech-stack counts, categories, and more (Crunchbase-grade data).
- **Funding-round signals** — round type, money raised (USD + original currency), announcement date, linked company.

No scraping happens at query time — every tool is a fast read against the pre-collected warehouse.

### Endpoint

```
POST https://memo23--company-intelligence-mcp.apify.actor/mcp
Authorization: Bearer <YOUR_APIFY_TOKEN>
```

Transport: Streamable HTTP (stateless). A plain `GET /` returns a small identity blob.

### MCP client configuration

Claude Desktop / Cursor style config (any client supporting remote Streamable HTTP servers):

```json
{
  "mcpServers": {
    "company-intelligence": {
      "url": "https://memo23--company-intelligence-mcp.apify.actor/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}
```

Get your Apify token at [Apify Console → Settings → API & Integrations](https://console.apify.com/settings/integrations).

### Tools

#### 1. `search_companies`

Search the company warehouse. All filters optional and combinable.

| Param | Type | Description |
| --- | --- | --- |
| `query` | string | Full-text word/prefix match on name & description, e.g. `"ai"` → AI, OpenAI (not a raw substring). Multiple words are AND-ed. |
| `country` | string | Full country name, e.g. `"United States"`, `"Germany"` |
| `employeeRange` | string | e.g. `"1-10"`, `"11-50"`, `"1001-5000"`, `"10001+"` |
| `operatingStatus` | string | `"active"` or `"closed"` |
| `limit` | number | 1–25, default 10 |

Example call:

```json
{ "name": "search_companies", "arguments": { "query": "ai", "country": "Germany", "limit": 5 } }
```

Returns slim rows (name, permalink, website, city, country, employeeRange, operatingStatus, foundedOn, description ≤ 200 chars) ordered by Crunchbase rank, plus `totalMatches`.

#### 2. `get_company_profile`

Full clean profile for one company.

| Param | Type | Description |
| --- | --- | --- |
| `permalink` | string | Company slug from `search_companies`, e.g. `"openai"` |

Example call:

```json
{ "name": "get_company_profile", "arguments": { "permalink": "openai" } }
```

Returns the complete structured record: identity, funding (total USD, rounds, investors), people/employee data, tech stack, categories, signals, contact fields where available.

#### 3. `get_funding_rounds`

A cross-company feed of notable funding rounds (with clean USD amounts), newest first — best for discovery by date/type/company. For one company's **full** round history, use `get_company_profile` (its `funding.rounds` is more complete than this signals table). All filters optional.

| Param | Type | Description |
| --- | --- | --- |
| `companyPermalink` | string | Only rounds raised by this company |
| `announcedAfter` | string | ISO date `YYYY-MM-DD` |
| `investmentType` | string | e.g. `"seed"`, `"series_a"`, `"series_b"` |
| `limit` | number | 1–25, default 10 |

Example call:

```json
{ "name": "get_funding_rounds", "arguments": { "investmentType": "series_a", "announcedAfter": "2025-01-01", "limit": 10 } }
```

Returns round rows: name, investmentType, moneyRaisedUsd, moneyRaised + moneyCurrency, announcedOn, companyPermalink.

### Pricing (pay-per-event)

| Event | Tool | Price |
| --- | --- | --- |
| `tool-search-companies` | `search_companies` | $0.01 / call |
| `tool-company-profile` | `get_company_profile` | $0.02 / call |
| `tool-funding-rounds` | `get_funding_rounds` | $0.03 / call |

Plus a one-off `$0.005` actor-start charge when a standby container boots. Pricing is live on the actor.

### Quick test with curl

```bash
curl -X POST "https://memo23--company-intelligence-mcp.apify.actor/mcp" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"search_companies","arguments":{"query":"ai","limit":3}}}'
```

# Actor input Schema

## Actor input object example

```json
{}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("memo23/company-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("memo23/company-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 '{}' |
apify call memo23/company-intelligence-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=memo23/company-intelligence-mcp",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/ZlMYjGNq2qdeikRPw/builds/y44DLeIkfNDXEnc4J/openapi.json