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[UNASSIGNED] more importance to demo, moved up and simplified intro
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docs/mcp.md

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When you connect an AI assistant to an MCP server, it gains the ability to query that server for relevant context,
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making responses more accurate and up-to-date.
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## How MCP helps you learn and use the Cadwork Python API
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## Demo
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See how easy it is to use the Cadwork Python API with an MCP-enabled AI assistant:
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<img src="img/mcp/gemini-mcp.gif" alt="MCP Demo with Gemini CLI" width="700">
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The Cadwork Python API documentation is available as an MCP server, which transforms how you can learn and work with the
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API:
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You can use the Cadwork Python MCP for:
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- **Contextual Answers**: Ask questions in natural language and get responses that reference the actual API
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documentation, including function signatures, parameters, and code examples.
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To use the Cadwork Python API documentation as an MCP server, you need to configure your AI assistant to connect to it.
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Here are the most common ai code assistants and how to configure them:
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??? note "Claude Desktop"
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Add the following to your Claude Desktop configuration file via the UI:
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Once added, the Cadwork Python API documentation will be automatically available when you interact with Gemini CLI.
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[Gemini MCP Guide](https://geminicli.com/docs/tools/mcp-server){target=_blank}
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## Demo
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See how easy it is to use the Cadwork Python API with an MCP-enabled AI assistant:
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<img src="img/mcp/gemini-mcp.gif" alt="MCP Demo with Gemini CLI" width="700">
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## Usage
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Once configured, prompt your request to your AI coding assistant and it will automatically query the Cadwork Python API
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documentation to help you write grounded scripts to our Cadwork Python API.
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[Gemini MCP Guide](https://geminicli.com/docs/tools/mcp-server){target=_blank}

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