MCP Tools for Webhook Queue Management give you programmatic visibility into queued webhook deliveries
See which webhook deliveries are waiting, check available queue capacity, and act on individual items without leaving them unaddressed.
MCP Tools for Webhook Queue Management are here. You can now use MCP to inspect and manage the processing queue for a webhook when received items have not yet been handed off to a scenario, such as when that scenario is inactive.
What’s new with MCP Tools for Webhook Queue Management
- List queued webhook items via MCP: See the deliveries currently waiting in a webhook’s processing queue.
- Check queue size and limits via MCP: Review queue capacity statistics to understand how much space is available.
- Inspect individual payloads via MCP: View the payload for a specific queued item before deciding what to do next.
- Delete individual queue items via MCP: Remove a selected item from the webhook processing queue through MCP.
Use Cases for Webhook Queue Management MCP Tools in Make
- Check whether incoming webhook deliveries are waiting while a scenario is inactive.
- Review queue size and limit statistics before the queue reaches capacity.
- Inspect a specific delivery payload when you need to understand what data was received.
- Remove an individual queued item that should not be processed.
- Build programmatic checks that review webhook queue contents as part of your operational workflow.
Availability:
Available on all Make plans, including Free.
Frequently asked questions
What is Webhook Queue Management?
Webhook Queue Management in Make helps you monitor and manage webhook deliveries waiting to be processed. You can check what is in a webhook’s queue, review capacity and queue limits, inspect individual payloads, and remove items that should not be processed. This makes it easier to prevent queues from filling up, troubleshoot incoming data, and keep webhook-driven scenarios running smoothly.
Learn more: Webhooks - Help Center
What are MCP tools?
MCP tools let AI assistants like Claude or ChatGPT securely interact with external systems through the Model Context Protocol (MCP). In Make, they can expose selected scenarios and account-management capabilities as callable tools, so an AI can retrieve information, trigger workflows, or perform approved actions using clearly defined inputs, permissions, and outputs.
How Make MCP server works?
AI systems, such as Claude and ChatGPT, act as MCP clients of Make MCP server. The server gives them access to scenario run and management tools that:
- Run active and on-demand scenarios.
- View and modify scenarios and their related entities, such as connections, webhooks, and data stores.
- View and modify teams and organizations.
When you connect Make MCP server to AI, your selected scopes determine the callable tools available on the server.
Learn more: Make MCP Server | MCP Server | Make Developer Hub
MCP Tools for Webhook Queue Management help you keep an eye on received webhook deliveries and take action on the items that need attention.
Happy automating! 
Valery from Make
Helpful resources
Make MCP Server overview
You can now also use Make MCP to access audit logs