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Pay per usage

Business Entity Intelligence MCP Server

MCP server for business entity research. Gives AI assistants access to OpenCorporates company data and SEC EDGAR company filings for due diligence.

Pricing

Pay per usage

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CoDee

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8 hours ago

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Integrations

You can access the Business Entity Intelligence MCP Server programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("martc03/business-entity-mcp").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Business Entity Intelligence MCP Server for AI API in Python

The Apify API client for Python is the official library that allows you to use Business Entity Intelligence MCP Server API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Business Entity Intelligence MCP Server API in JavaScript

Business Entity Intelligence MCP Server API through CLI

Business Entity Intelligence MCP Server OpenAPI definition

Business Entity Intelligence MCP Server API

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