DeepDeck tool lets developers benchmark whether WebMCP cuts AI token usage

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A developer has added a WebMCP benchmarking feature to DeepDeck, an MIT-licensed macOS desktop project built on DeepSeek Harness, to test whether exposing a structured browser tool genuinely reduces time and token consumption for AI agents. The experiment runs two arms — one with WebMCP enabled and one with it disabled — across fresh browser profiles to isolate the tool's impact on task completion. Users can configure a custom URL, query, and tool file using the project's Node/pnpm setup without needing Docker or a registered benchmark site. Each completed run outputs a comparison report covering token usage, elapsed time, tool calls, and both final answers, though correctness is not automatically scored. Developers are advised to verify answers independently before drawing conclusions about efficiency gains from WebMCP integration.

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