[{"_1":2,"_294":-5,"_295":-5},"loaderData",{"_3":4,"_51":52,"_53":54,"_235":236},"root",{"_5":6,"_47":48,"_49":50},"appGlobal",{"_7":8,"_36":37,"_38":39},"config",{"_9":10,"_11":12,"_13":14,"_15":16,"_17":18,"_19":20,"_21":22,"_23":24,"_25":26,"_27":28,"_29":30,"_31":28,"_32":33,"_34":35},"APP_URL","https://glama.ai","CLIENT_ASSETS_URL","https://static.glama.ai/client/","ENVIRONMENT","LIVE","FACEBOOK_PIXEL_ID","1988603181578092","GOOGLE_ANALYTICS_MEASUREMENT_ID","G-GDQ5NW5CB5","GOOGLE_OAUTH2_CLIENT_ID","48173796263-7ohlqirg28gh2a7nel61coff3m1ogjtc.apps.googleusercontent.com","POSTHOG_API_KEY","phc_aK0RnJxBEBRE0h0LIz21yyc9w6ylBxwUHMPB4712Bjc","REDDIT_PIXEL_ID","a2_fcqsoymvje51","RELEASE_VERSION","glama@production","SENTRY_DRY_RUN",false,"SENTRY_DSN","https://fc82aa9f808b13927ff29c56bda4d486@o4507975513735168.ingest.us.sentry.io/4507975514849280","SENTRY_SPOTLIGHT","SENTRY_TRACE",true,"STRIPE_PUBLIC_KEY","pk_live_51PcA5zEJhAFNfMYzXX3IOGDiJ5Gw1HYxi328mXMpakKXLgInHaAIDb92FCW35Zx0w0dGMlvXsKCQZ9xKXFSzMICv00ZDL4OZ9M","viewportWidth",1280,"visitorSession",{"_40":41,"_43":-5,"_44":45,"_46":-5},"attributes",[42],"BOT","membership","uid","98kvea8v9l","userAccount","nonce","92252f0776804d2995e1c9e187561cec","toasts",[],"routes/_public/_layout",{},"routes/_public/mcp/servers/~uid/_pages/_layout",{"_55":-5,"_56":57,"_153":154},"githubUser","mcpServer",{"_58":59,"_60":61,"_40":68,"_71":72,"_73":72,"_74":75,"_80":81,"_101":102,"_103":33,"_98":104,"_105":-5,"_106":-5,"_107":108,"_114":115,"_124":125,"_130":-5,"_131":132,"_135":136,"_44":150,"_151":152},"addedAt",["D",1734039552622],"argumentsJsonSchema",{"_62":63,"_64":65,"_66":67},"type","object","required",[],"properties",{},[69,70],"category:other","language:python","descriptionMarkdown","A MCP server enabling LLMs to roll dice","descriptionPlainText","githubProject",{"_76":77,"_78":79},"readme","# mcp-dice: A MCP Server for Rolling Dice\n\n[![smithery badge](https://smithery.ai/badge/mcp-dice)](https://smithery.ai/protocol/mcp-dice)\n![screenshot](https://github.com/user-attachments/assets/ff7615b8-46ba-4be5-8287-8e1bf348ae28)\n\nA Model Context Protocol (MCP) server that enables Large Language Models (LLMs) to roll dice. It accepts standard dice notation (e.g., `1d20`) and returns both individual rolls and their sum.\n\n

\n\n## Features\n\n- Supports standard dice notation (e.g., `1d20`, `3d6`, `2d8+1`)\n- Returns both individual rolls and the total sum\n- Easy integration with Claude Desktop\n- Compatible with MCP Inspector for debugging\n\n## Installation\n\n### Installing via Smithery\n\nTo install Dice Roller for Claude Desktop automatically via [Smithery](https://smithery.ai/protocol/mcp-dice):\n\n```bash\nnpx @smithery/cli install mcp-dice --client claude\n```\n\nMake `uv` available: https://docs.astral.sh/uv/getting-started/installation/\n\n## Usage\n\n### Basic Command Line Usage\n\n```shell\n# Using uvx\nuvx mcp-dice\n```\n\n### Input Format\n\nThe server accepts a JSON object with a `notation` field:\n```json\n{\n \"notation\": \"2d6+3\"\n}\n```\n\nExample responses:\n```json\n{\n \"rolls\": [\n 3,\n 1\n ],\n \"sum\": 4,\n \"modifier\": 3,\n \"total\": 7,\n \"notation\": \"2d6+3\",\n \"timestamp\": \"2024-12-03T16:36:38.926452\"\n}\n```\n\n## Claude Desktop Configuration\n\n### Location\n- macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`\n- Windows: `%APPDATA%/Claude/claude_desktop_config.json`\n\n### Examples\n\n

macOS Configuration

\n\n```json\n{\n \"mcpServers\": {\n \"dice\": {\n \"command\": \"uvx\",\n \"args\": [\"mcp-dice\"]\n }\n }\n}\n```\n\n

\n\n

WSL Configuration

\n\n```json\n{\n \"mcpServers\": {\n \"dice\": {\n \"command\": \"wsl\",\n \"args\": [\n \"-e\",\n \"zsh\",\n \"-lc\",\n \"uvx mcp-dice\"\n ]\n }\n }\n}\n```\n\nNote: Replace `zsh` with your login shell.\n

\n\n## Development and Debugging\n\n### Installing Development Dependencies\n\n```shell\n# Clone the repository\ngit clone https://github.com/yourusername/mcp-dice\ncd mcp-dice\n\n# Install development dependencies\nuv pip install -e \".[dev]\"\n```\n\n### Running Tests\n\n```shell\nuv run pytest\n```\n\n### Using MCP Inspector\n\nThe [MCP Inspector](https://github.com/modelcontextprotocol/inspector) is a useful tool for debugging your MCP server. Install and run it using npm:\n\n```shell\nnpx @modelcontextprotocol/inspector uvx mcp-dice\n```\n\n### Claude Desktop Configuration for Development\n\n

macOS configuration (local dev)

\n\n```json\n{\n \"mcpServers\": {\n \"dice\": {\n \"command\": \"uv\",\n \"args\": [\n \"run\",\n \"--directory\",\n \"path/to/mcp-dice-repo\",\n \"mcp-dice\"\n ]\n }\n }\n}\n```\n\nNote: Replace `path/to/mcp-dice-repo` with the path to the repository on your filesystem.\n

\n\n

Windows (WSL) configuration (local dev)

\n\n```json\n{\n \"mcpServers\": {\n \"dice\": {\n \"command\": \"wsl\",\n \"args\": [\n \"-e\",\n \"zsh\",\n \"-lc\",\n \"uv run --directory path/to/mcp-dice-repo mcp-dice\"\n ]\n }\n }\n}\n```\n\nNote: Replace `zsh` with your login shell. Also, replace `path/to/mcp-dice-repo` with the path to the repository on your WSL filesystem.\n

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