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It exposes searchable docs as resources and provides tools for Q\u0026A and guide retrieval.\n\n## Installation\nInstall the CLI tool by running:\n\n```bash\ndart pub global activate serverpod_mcp\n```\n\nAdd this MCP server to your editor. Example Cursor config:\n\n```json\n{\n  \"mcpServers\": {\n    \"dart\": {\n      \"command\": \"dart\",\n      \"args\": [\n        \"mcp-server\"\n      ]\n    },\n    \"serverpod\": {\n      \"command\": \"serverpod_mcp\",\n      \"args\": [\n        \"--gemini-api-key\",\n        \"YOUR_GEMINI_API_KEY\"\n      ],\n      \"rootDetection\": {\n        \"strategy\": \"workspace\"\n      }\n    }\n  }\n}\n```\n\nYou need to specify a Gemini API key for the MCP server to answer natural language questions. It uses only a few calls to lower-tier Gemini models, so it's very inexpensive (the free tier should be sufficient). You can get your free API key [here](https://aistudio.google.com/app/apikey).\n\nAlternatively, you can specify your Gemini API key via the `SERVERPOD_MCP_GEMINI_API_KEY` environment variable.\n\n## What it provides\n- Serverpod guides and docs are exposed as MCP resources, fetched from Serverpod's Starguide backend.\n- Ask natural language questions about Serverpod; answers are generated using Gemini based on documentation and answered discussions.\n\n## Requirements\n- **Dart SDK**: ^3.8.1\n- **Gemini API key**: Required only for `ask-docs`\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fserverpod%2Fserverpod_mcp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fserverpod%2Fserverpod_mcp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fserverpod%2Fserverpod_mcp/lists"}