Improved MCP Server Support

Managing external tools and data sources is now faster, more reliable, and easier to configure.

Over the last few months, we've seen more teams connect Queue agents to MCP servers for access to documentation, databases, internal tools, and custom workflows.

As adoption has grown, we've focused on improving the experience across performance, reliability, and configuration.

Today's update introduces several enhancements to how Queue works with MCP servers.

Faster server connections

We've improved connection handling and server discovery, reducing the time it takes agents to establish MCP sessions and access available tools.

For teams running large workflows with multiple MCP servers, this results in faster startup times and smoother execution.

Better tool discovery

Agents now have improved visibility into available MCP tools and resources.

This makes it easier for agents to select the right tool during execution while reducing unnecessary tool calls and improving overall reliability.

Improved configuration experience

We've streamlined MCP server setup across the platform.

Teams can manage server connections more easily, review available capabilities, and configure access without jumping between multiple screens.

The goal is simple: spend less time configuring infrastructure and more time building workflows.

Reliability improvements

This update also includes a number of under-the-hood improvements to connection stability, error handling, and server communication.

Agents are now better equipped to recover from temporary failures and continue execution when external systems become unavailable.

Looking ahead

MCP continues to become an important part of how teams connect AI agents to the tools they use every day.

We'll continue investing in performance, observability, and developer experience to make MCP-powered workflows even more powerful as adoption grows.

As always, thank you for the feedback that helps shape the platform.