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Restore LLM interaction section, adding block diagram
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@@ -17,6 +17,25 @@ approaches that rely on low-level concepts like line numbers or primitive search
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Practically, this means that your agent operates **faster, more efficiently and more reliably**, especially in larger and
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more complex codebases.
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## How Serena Works
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Serena provides the necessary [tools](https://oraios.github.io/serena/01-about/035_tools.html) for coding workflows,
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but an LLM is required to do the actual work, orchestrating tool use.
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Serena can extend the functionality of your existing AI client via the **model context protocol (MCP)**.
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Most modern AI chat clients directly support MCP, including
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* terminal-based clients like Claude Code, Codex, OpenCode, or Gemini-CLI,
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* IDEs and IDE assistant plugins for VSCode, Cursor and JetBrains IDEs,
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* desktop and local web clients like Claude Desktop or OpenWebUI
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<img src="resources/serena-block-diagram.svg">
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To connect the Serena MCP server to your client, you typically
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* provide the client with a launch command that starts the MCP server, or
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* start the Serena MCP server yourself in HTTP mode and provide the client with the URL.
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See the [Quick Start](#quick-start) section below for information on how to get started.
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## Features
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Serena supports two code intelligence backends:
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