🤖 Transcript to LinkedIn Posts Converter
Pricing
Pay per event
🤖 Transcript to LinkedIn Posts Converter
Transform your transcripts into engaging LinkedIn posts with AI! This powerful tool analyzes your content and generates 10 professional LinkedIn posts using the "Hook-Contrarian-In Reality-Advice-Wrap" framework, perfect for content creators and social media managers.
5.0 (1)
Pricing
Pay per event
1
Monthly users
1
Runs succeeded
>99%
Last modified
12 days ago
You can access the 🤖 Transcript to LinkedIn Posts Converter 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=powerai/transcript-to-linkedin-posts-converter"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing 🤖 Transcript to LinkedIn Posts Converter via Model Context Protocol (MCP) server
MCP server lets you use 🤖 Transcript to LinkedIn Posts Converter 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 🤖 Transcript to LinkedIn Posts Converter 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 "name": "powerai/transcript-to-linkedin-posts-converter"
8 }
9}'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 🤖 Transcript to LinkedIn Posts Converter
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 "powerai/transcript-to-linkedin-posts-converter"
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.
Per success result
$3.99
Per success result
