AI Dev 25 x NYC | Scott Yak: Building MCP Servers That Make Agents More Effective

Agents often rely on external tools to help them accomplish their tasks, and external MCP servers are convenient for getting those tools with minimal code.

Since the agent-builder does not control the MCP server's interface, the responsibility now falls on the MCP server developers to help the agents that connect to it make progress on their tasks. In this talk by Scott Yak,
Senior Software Engineer at Datadog, shared some lessons learned from building and iterating on Datadog's public MCP server, which is currently used by both internal and external agents.

Attendees learned how to implement their MCP server in a way that improves the effectiveness of the agents that connect to it.

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Join us at AI Dev 26 x San Francisco! Tickets: https://ai-dev.deeplearning.ai/

Видео AI Dev 25 x NYC | Scott Yak: Building MCP Servers That Make Agents More Effective канала DeepLearningAI