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If `.ai-devkit.json` already exists in this project, apply setup with:
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Use a custom directory for AI documentation (default is `docs/ai`):
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```bash
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ai-devkit install
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ai-devkit init --docs-dir ./ai-docs
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```
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Use a non-default config file if your project stores AI DevKit config elsewhere:
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#### Adding MCP Servers to a Template
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```bash
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ai-devkit install --config ./.ai-devkit.team.json
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Templates can also define [MCP servers](https://modelcontextprotocol.io/) that agents connect to for extended capabilities such as persistent memory or external tool access. Add a `mcpServers` section to your template:
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```yaml
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mcpServers:
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memory:
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transport: stdio
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command: npx
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args:
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- "@ai-devkit/memory"
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```
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Overwrite existing install artifacts without extra prompts:
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After running `ai-devkit init --template`, MCP server definitions are saved to `.ai-devkit.json`. Run `ai-devkit install` to generate the agent-specific MCP config files.
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## Built-in Skills
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When running `ai-devkit init` interactively (without a template), you are prompted to install AI DevKit's built-in skills. In non-interactive environments such as CI, pass `--built-in` to install them automatically:
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