Pricing

from $500.00 / 1,000 full acquisition readiness scores

M&A Target Intelligence MCP Server

Pre-acquisition screening MCP wrapping 15 actors. Target financial health, IP portfolio, workforce stability, technology assessment, competitive position. Acquisition Readiness Score. Pay-per-event.

Pricing

from $500.00 / 1,000 full acquisition readiness scores

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Developer

ryan clinton

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You can access the M&A Target 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("ryanclinton/m-and-a-target-intelligence-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

M&A Due Diligence & Acquisition Target Scoring MCP API in Python

The Apify API client for Python is the official library that allows you to use M&A Target 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:

M&A Target Intelligence MCP Server API in JavaScript

M&A Target Intelligence MCP Server API through CLI

M&A Target Intelligence MCP Server OpenAPI definition

M&A Target Intelligence MCP Server API

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