AI Content MCP Server

Pricing

Pay per usage

AI Content MCP Server

AI-ready content generation with 6 specialized tools. Generate text with Claude/Gemini, create images with Imagen/DALL-E, extract structured data from any URL, and enrich leads with AI - all through a unified MCP interface.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

John Rippy

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

MCP servers

Lead generation

You can access the AI Content 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("alizarin_refrigerator-owner/ai-content-mcp-server").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

AI Content MCP Server API in Python

The Apify API client for Python is the official library that allows you to use AI Content 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:

AI Content MCP Server API in JavaScript

AI Content MCP Server API through CLI

AI Content MCP Server OpenAPI definition

AI Content MCP Server API

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