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The Cristalyse MCP Server provides AI coding assistants with direct access to Cristalyse documentation, examples, and best practices through the Model Context Protocol (MCP). This enables your AI assistant to provide accurate, up-to-date information about Cristalyse directly in your coding environment.

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What is MCP?

The Model Context Protocol (MCP) is a standardized way for AI applications to securely connect to external data sources and tools. By adding the Cristalyse MCP server, your AI assistant gains access to:
  • Complete Cristalyse documentation
  • Code examples and snippets
  • Best practices and patterns
  • API reference materials
  • Troubleshooting guides

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Setup Instructions

Choose your AI coding assistant below for specific setup instructions:
  • AI Code Editor (Cursor, Windsurf, Warp)
  • Claude Code (CLI)
  • Claude (Web & Desktop)
Add the following configuration to your MCP settings file:
{
  "mcpServers": {
    "cristalyse_docs": {
      "url": "https://docs.cristalyse.com/mcp"
    }
  }
}

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Example Usage

Once connected, you can ask your AI assistant questions like:
  • “How do I create a scatter plot with Cristalyse?”
  • “What are the available chart types in Cristalyse?”
  • “Show me an example of custom theming”
  • “How do I add animations to my charts?”
  • “What’s the best way to handle large datasets?”
The AI assistant will have access to the complete Cristalyse documentation and can provide accurate, contextual responses with code examples.

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Benefits

Always Up-to-Date: Access the latest documentation directly from the source
Context-Aware: Get relevant examples based on your current code
Faster Development: No need to switch between your IDE and documentation
Better Code Quality: Follow best practices and patterns recommended in the docs
Instant Help: Get immediate answers to Cristalyse-related questions

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Troubleshooting

If you’re having issues connecting to the MCP server:
  1. Check your internet connection - The MCP server requires internet access
  2. Verify the URL - Make sure you’re using https://docs.cristalyse.com/mcp
  3. Restart your AI assistant - Sometimes a restart is needed after adding new MCP servers
  4. Check your MCP settings - Ensure the JSON configuration is valid
Need help? Visit our Questions section for community support.