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April 2-3, 2026
New York, NY
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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.


Thursday April 2, 2026 5:30pm - 5:55pm EDT
As MCP adoption grows, power users are connecting multiple servers for various workloads. This creates a challenge: in naive implementations, preloading all tool and resource definitions into the context window can add 50k+ tokens before the agent even starts working. Evaluating our agentic coding users at Warp, we found that ~90% of tasks don't use the MCP context available, and those that do only use few tools.

This led us to question whether MCP context needs to be statically front-loaded. So, we built a model-agnostic MCP search subagent that reduces token usage by 26% for MCP-using tasks and 10% when MCP context is available but unused. All in a model-agnostic implementation.

Attendees will leave with:
• A concrete architecture for dynamic MCP tool/resource discovery
• Evaluation strategies for ensuring search doesn't degrade agent quality
• A look into our model-agnostic implementation to adopt in any agentic coding harness
Speakers
avatar for Kevin Yang

Kevin Yang

Product Engineer, Warp
Kevin is one of Warp's earliest engineers, scaling Warp's AI features from prototype to over a hundred thousand daily users. He currently serves as a Tech Lead for Warp's Code product.
Thursday April 2, 2026 5:30pm - 5:55pm EDT
Marquis Ballroom (9th Floor)
  MCP Best Practices

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