LinkedIn Posts Generator - AI Content Creator (Cheapest)

Under maintenance

Pricing

Pay per event

Try for free

Go to Apify Store

LinkedIn Posts Generator - AI Content Creator (Cheapest)

Under maintenance

Try for free

Developed by

Cuepoint.ai

Maintained by Community

🧠 Become a LinkedIn thought leader in minutes! AI-powered posts that establish authority & build influence. 3-10 unique variations, engagement scores, premium reports. The cheapest LinkedIn content generator on Apify. Transform expertise into magnetic posts! 🚀

0.0 (0)

Pricing

Pay per event

Last modified

17 days ago

Social media

Lead generation

You can access the LinkedIn Posts Generator - AI Content Creator (Cheapest) 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

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?actors=cuepoint.ai/linkedin-posts-generator",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with LinkedIn AI Post Generator Content Marketing Tool Cheapest

You have a few options for interacting with the MCP server:

Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).
Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/?actors=cuepoint.ai/linkedin-posts-generator along with an API token (or use OAuth).
Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
    "mcpServers": {
        "apify": {
            "type": "sse",
            "url": "https://mcp.apify.com/?actors=cuepoint.ai/linkedin-posts-generator",
            "headers": {
                "Authorization": "Bearer <YOUR_API_TOKEN>"
            }
        }
    }
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

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