Power Webhook Integration
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Power Webhook Integration
14 days trial then $5.00/month - No credit card required now
Allows you to provide multiple HTTP endpoints, that receive a more complete JSON from the run, and allow you to hit those endpoints using a proxy, and enable you to do conditional webhook calls with some lines of Javascript code and you can link/chain one actor to another
Paulo CesarActor Metrics
1 Monthly user
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>99% runs succeeded
Created in Aug 2021
Modified 2 years ago
You can access the Power Webhook Integration 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=pocesar/run-webhook-digest"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Power Webhook Integration via Model Context Protocol (MCP) server
MCP server lets you use Power Webhook Integration 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 Power Webhook Integration 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 "method": "POST",
8 "statuses": [
9 "ACTOR.RUN.SUCCEEDED",
10 "ACTOR.RUN.FAILED",
11 "ACTOR.RUN.TIMED_OUT"
12 ],
13 "customData": {},
14 "transformEndpoint": "async ({ Apify, url, dataset, requestQueue, keyValueStore, abort, data, input: { customData } }) => {\\n return data;\\n}",
15 "triggerCondition": "async ({ Apify, dataset, requestQueue, keyValueStore, abort, data, input: { customData } }) => {\\n return true;\\n}"
16},
17 "name": "pocesar/run-webhook-digest"
18 }
19}'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 Power Webhook Integration
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 "pocesar/run-webhook-digest"
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.
