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@@ -4,9 +4,9 @@ A Model Context Protocol (MCP) server that provides browser automation capabilit
### Playwright MCP vs Playwright CLI
-**Important:** This package provides MCP interface into Playwright. You might benefit from using the [CLI+SKILLS](https://github.com/microsoft/playwright-cli) flavor instead.
+This package provides MCP interface into Playwright. If you are using a **coding agent**, you might benefit from using the [CLI+SKILLS](https://github.com/microsoft/playwright-cli) instead.
-- **CLI**: Modern coding agents increasingly favor CLI–based workflows exposed as SKILLs over MCP because CLI invocations are more token-efficient: they avoid loading large tool schemas and verbose accessibility trees into the model context, allowing agents to act through concise, purpose-built commands. This makes CLI + SKILLs better suited for high-throughput coding agents that must balance browser automation with large codebases, tests, and reasoning within limited context windows.
**Learn more about [Playwright CLI with SKILLS](https://github.com/microsoft/playwright-cli)**.
+- **CLI**: Modern **coding agents** increasingly favor CLI–based workflows exposed as SKILLs over MCP because CLI invocations are more token-efficient: they avoid loading large tool schemas and verbose accessibility trees into the model context, allowing agents to act through concise, purpose-built commands. This makes CLI + SKILLs better suited for high-throughput coding agents that must balance browser automation with large codebases, tests, and reasoning within limited context windows.
**Learn more about [Playwright CLI with SKILLS](https://github.com/microsoft/playwright-cli)**.
- **MCP**: MCP remains relevant for specialized agentic loops that benefit from persistent state, rich introspection, and iterative reasoning over page structure, such as exploratory automation, self-healing tests, or long-running autonomous workflows where maintaining continuous browser context outweighs token cost concerns.