About setup-webhook
A Vapi webhook setup skill for configuring server URLs that receive call events and can return data affecting calls. It covers endpoint placement, event handling, authentication, and local development workflows.
Key features
- 01Configure assistant, number, or organization URLs
- 02Handle call and tool events
- 03Set up credential-based authentication
- 04Forward local events through a public tunnel
- 05Inspect end-of-call report fields
Use cases
- 01Receive transcripts and call status changes
- 02Return results for assistant tool calls
- 03Test webhook handling during local development
- 04Secure a Vapi server URL with credentials
MCP support
The README mentions Vapi’s documentation MCP server for compatible AI agents to search documentation.
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ vapiai/ skills --skill setup-webhookAfter installing, type/setup-webhookin Claude Code to confirm it loaded.
Bundled filesreferences/webhook-events.md
Details
From the project READMEVapi Webhook / Server URL Setup
Configure server URLs to receive real-time events from Vapi during calls — transcripts, tool calls, status changes, and end-of-call reports.
Setup: Ensure
VAPI_API_KEYis set. See thesetup-api-keyskill if needed.
Overview
Vapi uses "Server URLs" (webhooks) to communicate with your application. Unlike traditional one-way webhooks, Vapi server URLs support bidirectional communication — your server can respond with data that affects the call.
Where to Set Server URLs
On an Assistant
curl -X PATCH https://api.vapi.ai/assistant/{id} \
-H "Authorization: Bearer $VAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"server": {
"url": "https://your-server.com/vapi/webhook",
"credentialId": "cred_abc123"
}
}'
Create the optional credentialId in Dashboard > Custom Credentials. Omit it only for a deliberately public endpoint.
On a Phone Number
Phone-number updates also use a server object with url and optional credentialId. When updating through the API, first retrieve the number and preserve its existing provider discriminator in the PATCH body. The dashboard is the safest choice when the provider is unknown.
At the Organization Level
Set a default server URL in the Vapi Dashboard under Settings > Server URL.
Priority order: Tool server URL > Assistant server URL > Phone Number server URL > Organization server URL.
Event Types
| Event | Description | Expects Response? |
|---|---|---|
assistant-request | Request for dynamic assistant config | Yes — return assistant config |
tool-calls | Assistant is calling a tool | Yes — return tool results |
status-update | Call status changed | No |
transcript | Real-time transcript update | No |
end-of-call-report | Call completed with summary | No |
hang | Assistant failed to respond | No |
speech-update | Speech activity detected | No |
Webhook Server Example (Express.js)
import express from "express";
const app = express();
app.use(express.json());
app.post("/vapi/webhook", (req, res) => {
const { message } = req.body;
switch (message.type) {
case "assistant-request":
// Dynamically configure the assistant based on the caller
res.json({
assistant: {
name: "Dynamic Assistant",
firstMessage: `Hello ${message.call.customer?.name || "there"}!`,
model: {
provider: "openai",
model: "gpt-4.1",
messages: [
{ role: "system", content: "You are a helpful assistant." },
],
},
voice: { provider: "vapi", voiceId: "Elliot", version: 2 },
transcriber: { provider: "deepgram", model: "nova-3", language: "en" },
},
});
break;
case "tool-calls":
// Handle tool calls from the assistant
const results = (message.toolCallList || []).map((toolCall: any) => ({
toolCallId: toolCall.id,
result: handleToolCall(
toolCall.name,
toolCall.parameters || toolCall.arguments
),
}));
res.json({ results });
break;
case "end-of-call-report":
// Process the call report
console.log("Call ended:", {
callId: message.call.id,
endedReason: message.endedReason,
cost: message.cost,
analysis: message.analysis,
artifact: message.artifact,
});
res.json({});
break;
case "status-update":
console.log("Call status:", message.status);
res.json({});
break;
case "transcript":
console.log(`[${message.role}]: ${message.transcript}`);
res.json({});
break;
default:
res.json({});
}
});
function handleToolCall(name: string, args: any): string {
// Implement your tool logic here
return `Result for ${name}`;
}
app.listen(3000, () => console.log("Webhook server running on port 3000"));
Webhook Server Example (Python / Flask)
from flask import Flask, request, jsonify
app = Flask(__name__)
@app.route("/vapi/webhook", methods=["POST"])
def vapi_webhook():
data = request.json
message = data.get("message", {})
msg_type = message.get("type")
if msg_type == "assistant-request":
return jsonify({
"assistant": {
"name": "Dynamic Assistant",
"firstMessage": "Hello! How can I help?",
"model": {
"provider": "openai",
"model": "gpt-4.1",
"messages": [
{"role": "system", "content": "You are a helpful assistant."}
],
},
"voice": {"provider": "vapi", "voiceId": "Elliot", "version": 2},
"transcriber": {"provider": "deepgram", "model": "nova-3", "language": "en"},
}
})
elif msg_type == "tool-calls":
results = []
for tool_call in message.get("toolCallList", []):
results.append({
"toolCallId": tool_call["id"],
"result": f"Handled {tool_call['name']}",
})
return jsonify({"results": results})
elif msg_type == "end-of-call-report":
print(f"Call ended: {message['call']['id']}")
print(f"Summary: {message.get('analysis', {}).get('summary')}")
return jsonify({})
if __name__ == "__main__":
app.run(port=3000)
Webhook Authentication
Use a Vapi Custom Credential and place its ID in server.credentialId. Vapi supports Bearer Token, OAuth 2.0 client credentials, and HMAC credentials. Verify requests according to the credential you configured; HMAC header names, algorithms, timestamps, and payload formats are configurable, so do not assume a fixed x-vapi-signature format.
For a bearer credential, compare the incoming Authorization: Bearer <token> value with the token stored securely by your server. Never put the secret itself in an assistant or phone-number payload.
Local Development
Use the Vapi CLI with a public tunnel. The CLI forwards from port 4242 to your app, but it does not create the public URL itself:
# Install the CLI
curl -sSL https://vapi.ai/install.sh | bash
# Terminal 1: expose the CLI listener
ngrok http 4242
# Terminal 2: forward events from the CLI to your app
vapi listen --forward-to localhost:3000/vapi/webhook
Set the Vapi server URL to the public ngrok URL. To skip the CLI and tunnel directly to the Express or Flask server instead:
ngrok http 3000
# Copy the ngrok URL and set it as your server URL
End-of-Call Report Fields
The end-of-call-report event includes:
| Field | Description |
|---|---|
call | Full call object with metadata |
endedReason | Why the call ended |
artifact | Recording, transcript, messages, and other enabled artifacts |
analysis | Configured summaries, structured data, and success evaluation |
cost | Total call cost |
startedAt / endedAt | Call timing, when included |
References
- Common Server URL Events — Common event payloads and responses
- Setting Server URLs — Placement and priority
- Server Authentication — Custom Credentials
- Local Development — Testing webhooks locally
Additional Resources
Vapi provides a documentation MCP server that gives compatible AI agents access to the Vapi knowledge base. Use its documentation search for advanced configuration, troubleshooting, SDK details, and anything beyond this skill.
To add the Vapi documentation MCP server manually in Claude Code, run:
claude mcp add vapi-docs -- npx -y mcp-remote https://docs.vapi.ai/_mcp/server
See the Vapi MCP integration guide for setup instructions across supported agents.