# MCP Company Researcher — AI Business Intelligence (`knotless_cadence/mcp-company-researcher`) Actor

MCP-compatible company researcher — get company data, funding, employees, tech stack via AI agents. Use with Claude or GPT. Export JSON. Perfect for AI-powered competitive intelligence and due diligence.

- **URL**: https://apify.com/knotless\_cadence/mcp-company-researcher.md
- **Developed by:** [Alex](https://apify.com/knotless_cadence) (community)
- **Categories:** Business, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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

## MCP Company Researcher -- Full Domain Intelligence Report: Website, Tech Stack, SSL, News & HN Mentions

**Need to research a company before a sales call, investment meeting, or partnership discussion?** Manually checking their website, looking up their tech stack, searching Google News, scanning Hacker News -- it takes 30 minutes per company. What if you could get a complete company intelligence profile from just a domain name in under 30 seconds?

MCP Company Researcher takes a single company domain and returns a structured intelligence report: website metadata (title, description, Open Graph), technology stack detection, DNS records, SSL certificate details, latest Google News mentions, and Hacker News discussions. One domain in, full company profile out. Built for AI sales agents, competitive intelligence pipelines, and due diligence automation.

### What You Get

- **Website metadata** -- page title, meta description, Open Graph title/description/image
- **Technology stack** -- detects WordPress, Next.js, Shopify, Google Analytics, Stripe, HubSpot, Intercom (7 technologies)
- **DNS records** -- resolved IP addresses via Google DNS-over-HTTPS
- **SSL certificate** -- issuer organization, expiration date, validity status
- **Recent news** -- up to 5 latest Google News articles with sources
- **Hacker News mentions** -- top 5 HN stories mentioning the company with points and URLs

### Key Features

- **Single domain input** -- no URL formatting needed, just `stripe.com`
- **6 intelligence sections** -- website, tech stack, DNS, SSL, news, HN mentions
- **Real-time data** -- news and HN results are live, not cached
- **SSL security check** -- instantly see if a company's cert is valid and who issued it
- **MCP-native** -- designed for Model Context Protocol AI agent integration
- **No API key needed** -- all data from public endpoints
- **Fast** -- full report in under 30 seconds

### Output Data Example

```json
{
  "domain": "stripe.com",
  "website": {
    "title": "Stripe | Financial Infrastructure for the Internet",
    "description": "Stripe powers online and in-person payment processing and financial solutions for businesses of all sizes.",
    "ogTitle": "Stripe | Financial Infrastructure for the Internet",
    "ogDescription": "Stripe powers online and in-person payment processing...",
    "ogImage": "https://stripe.com/img/v3/home/social.png"
  },
  "techStack": [
    "Next.js",
    "Google Analytics",
    "Stripe"
  ],
  "dns": {
    "ips": ["185.166.143.28", "185.166.143.29"]
  },
  "ssl": {
    "issuer": "DigiCert Inc",
    "validTo": "Apr 15 23:59:59 2027 GMT",
    "isValid": true
  },
  "recentNews": [
    {
      "title": "Stripe launches new AI-powered fraud detection",
      "source": "TechCrunch"
    },
    {
      "title": "Stripe valued at $91B in latest funding round",
      "source": "Bloomberg"
    }
  ],
  "hackerNewsMentions": [
    {
      "title": "Stripe's new developer documentation approach",
      "points": 342,
      "url": "https://stripe.com/blog/new-docs"
    },
    {
      "title": "How Stripe handles billions in transactions",
      "points": 289,
      "url": "https://newsletter.pragmaticengineer.com/..."
    }
  ],
  "scrapedAt": "2026-03-19T14:30:00.000Z"
}
````

### Use Cases

1. **Sales call preparation** -- get a complete company snapshot before every prospect meeting
2. **Competitive intelligence** -- research competitor technology choices, news coverage, and community sentiment
3. **Investment due diligence** -- verify SSL security, check recent news, assess technical maturity
4. **Partnership evaluation** -- understand a potential partner's tech stack and market presence
5. **Lead qualification** -- check if a company uses technologies compatible with your product (e.g., Stripe users for a fintech tool)
6. **AI agent enrichment** -- give your AI SDR real-time company data for personalized outreach
7. **Security auditing** -- quickly check SSL certificate validity and issuer for any domain
8. **Journalist research** -- find recent news coverage and tech community discussions about a company

### Input Parameters

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `domain` | string | Yes | -- | Company website domain (e.g., `stripe.com`, `notion.so`). No `https://` prefix needed. |

### How It Works

1. You provide a **company domain** (e.g., `stripe.com`)
2. The actor runs **6 research modules in sequence**:
   - **Website crawl** -- fetches homepage, extracts title, meta tags, Open Graph data, and detects 7 technology signatures
   - **DNS lookup** -- resolves A records via Google's DNS-over-HTTPS API
   - **SSL inspection** -- connects to port 443, reads the peer certificate (issuer, expiry, validity)
   - **Google News search** -- fetches RSS feed for latest 5 news articles mentioning the domain
   - **Hacker News search** -- queries Algolia HN API for top 5 stories with points and URLs
3. All results are combined into a **single structured JSON object**
4. Total execution time: typically **10-30 seconds** depending on target site response time

### Detected Technologies

| Technology | Detection Method |
|-----------|-----------------|
| WordPress | `wp-content/` in HTML |
| Next.js | `_next/` static paths |
| Shopify | `cdn.shopify.com` references |
| Google Analytics | `googletagmanager` or `gtag` |
| Stripe | `js.stripe` references |
| HubSpot | `hubspot.com` references |
| Intercom | `intercom.com` references |

### Combining with Other MCP Servers

For deeper research, chain this with other tools:

- Run **MCP Company Researcher** first to get the overview
- Then use **MCP Lead Finder** to extract emails and social links from the same domain
- Use **MCP SEO Analyzer** to audit the company's SEO health
- Feed results into **MCP Market Research Server** to understand the company's industry

### More Tools

- Browse all our actors on the [Apify Store](https://apify.com/store?search=knotless_cadence)
- Source code and more MCP servers on [GitHub](https://github.com/spinov001-art/mcp-servers-collection)
- Ready-made market research reports on [Market Reports](https://payhip.com/aimarketintel)

# Actor input Schema

## `domain` (type: `string`):

Company website domain

## Actor input object example

```json
{
  "domain": "stripe.com"
}
```

# 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 = {
    "domain": "stripe.com"
};

// Run the Actor and wait for it to finish
const run = await client.actor("knotless_cadence/mcp-company-researcher").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 = { "domain": "stripe.com" }

# Run the Actor and wait for it to finish
run = client.actor("knotless_cadence/mcp-company-researcher").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 '{
  "domain": "stripe.com"
}' |
apify call knotless_cadence/mcp-company-researcher --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "MCP Company Researcher — AI Business Intelligence",
        "description": "MCP-compatible company researcher — get company data, funding, employees, tech stack via AI agents. Use with Claude or GPT. Export JSON. Perfect for AI-powered competitive intelligence and due diligence.",
        "version": "1.0",
        "x-build-id": "r0GUtdPFEgqOgneEI"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/knotless_cadence~mcp-company-researcher/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-knotless_cadence-mcp-company-researcher",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/knotless_cadence~mcp-company-researcher/runs": {
            "post": {
                "operationId": "runs-sync-knotless_cadence-mcp-company-researcher",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/knotless_cadence~mcp-company-researcher/run-sync": {
            "post": {
                "operationId": "run-sync-knotless_cadence-mcp-company-researcher",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "domain"
                ],
                "properties": {
                    "domain": {
                        "title": "Company Domain",
                        "type": "string",
                        "description": "Company website domain"
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```