Blogging automator using AI 🤖
Under maintenance
Pricing
Pay per event
Blogging automator using AI 🤖
Under maintenance
Automate CMS blogging with AI! 🎉 This agent uses GPT-4o-mini and Apify’s Ghost Blog Poster to create draft posts. Input a URL or text, set a word limit, and get a summarized/reformatted draft. Requires API keys. Pay-per-event pricing applies. More CMS support coming soon! 🚀
0.0 (0)
Pricing
Pay per event
2
Monthly users
4
Runs succeeded
>99%
Last modified
18 days ago
You can access the Blogging automator using AI 🤖 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.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=azzouzana/blogging-automator-using-ai"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Blogging automator using AI 🤖 via Model Context Protocol (MCP) server
MCP server lets you use Blogging automator using AI 🤖 within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Blogging automator using AI 🤖 Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": {
7 "pageUrlOrRawText": "https://www.azaytek.com/ai-impacts-on-devops/",
8 "GHOST_BASE_API_URL": "https://www.your-ghost-blog.com/ghost/api/v4"
9},
10 "name": "azzouzana/blogging-automator-using-ai"
11 }
12}'The response should be: Accepted. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [
5 {
6 "type": "text",
7 "text": "ACTOR_RESPONSE"
8 }
9 ]
10 }
11}Configure local MCP Server via standard input/output for Blogging automator using AI 🤖
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
1{
2 "mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "azzouzana/blogging-automator-using-ai"
10 ],
11 "env": {
12 "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13 }
14 }
15 }
16}You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.
Pricing
Pricing model
Pay per eventThis Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Price for Actor start
$0.02
Flat fee for starting an Actor run.
Price for calling ghost CMS tool
$0.03
Flat fee for calling ghost CMS tool.
Price for scraping a page
$0.03
Flat fee for scraping a page.
Price for pushing to the dataset
$0.02
Flat fee for pushing to the dataset.
