Send a POST request with JSON data to a webhook.site endpoint.
AI agents invoke send_to_webhook to trigger actions in Webhook Site MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool triggers an external HTTP operation (POST request) to a remote endpoint. It executes an outbound network action whose effects depend on the arguments (destination URL and payload), making it Execute category. Misuse could involve sending arbitrary data to external services or exfiltrating information.
From the tool's definition Send a POST request with JSON data to a webhook.site endpoint
Documented attack patterns abuse exactly the kind of access send_to_webhook gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Webhook Site MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for send_to_webhook:
{
"version": "1",
"default": "deny",
"tools": {
"send_to_webhook": {
"limits": [
{
"counter": "send_to_webhook_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} send_to_webhook stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Send a POST request with JSON data to a webhook.site endpoint. It is categorised as a Execute tool in the Webhook Site MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Webhook Site MCP Server MCP server in PolicyLayer and add a rule for send_to_webhook: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Webhook Site MCP Server. Nothing to install.
send_to_webhook is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the send_to_webhook rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for send_to_webhook. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
send_to_webhook is provided by the Webhook Site MCP Server MCP server (zebbern/webhook-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Webhook Site MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
23 Webhook Site MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.