Actor README Generator Agent
Pricing
Pay per event
Actor README Generator Agent
Generates a README for an Apify Actor using an AI Agent. You only need to provide the actor id to generate a readable and SEO optimized README for the Actor. The generation process utilizes Apify's Official README Guide. This Agent is open source (link in readme).
0.0 (0)
Pricing
Pay per event
4
Monthly users
1
Runs succeeded
>99%
Last modified
22 days ago
You can access the Actor README Generator Agent 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=jkuzz/actor-readme-generator-agent"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Actor README Generator Agent via Model Context Protocol (MCP) server
MCP server lets you use Actor README Generator Agent 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 Actor README Generator Agent 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 "actorId": "JOHAgNsmklA9ZBl7Y",
8 "modelName": "gpt-4o-mini"
9},
10 "name": "jkuzz/actor-readme-generator-agent"
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 Actor README Generator Agent
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 "jkuzz/actor-readme-generator-agent"
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 result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Actor start per 1 GB
$0.005
Flat fee for starting an Actor run for each 1 GB of memory.
Price per 100 OpenAI tokens for gpt-4o
$0.001
Flat fee for each 100 gpt-4o tokens used.
Price per 100 OpenAI tokens for gpt-4o-mini
$0.000
Flat fee for each 100 gpt-4o-mini tokens used.
