Layerchart Docs

A Mastra-powered Model Context Protocol (MCP) server that provides structured access to LayerChart documentation and source code. This server enables AI agents to easily retrieve, search, and understand LayerChart components and examples.

Production Deployment

Mastra Cloud	https://layerchart.mastra.cloud	Primary choice - Zero cold start, maximum responsiveness.

• Append /api/mcp/layerChart/sse for the SSE transport (best for editors that keep long-lived connections).
• Append /api/mcp/layerChart/mcp for the HTTP transport (handy for CLIs and quick one-off calls).

🚀 Features

• Route Discovery: List all available documentation and component routes.
• Hybrid Retrieval: Get documentation text from the website combined with raw source code from GitHub.
• Source Access: Fetch raw Svelte source code for both documentation pages (usage) and component implementations.
• Semantic Search: Search across the LayerChart repository to find relevant components and documentation.

Editor Setup

Mastra Cloud is the recommended deployment for all editors. It offers zero cold start and maximum responsiveness. SSE works best for editors that keep a persistent connection, while HTTP is handy for one-off requests and scripts.

Cursor / Windsurf / VS Code / Claude Desktop

Configure your editor to use the SSE endpoint:

{
  "mcpServers": {
    "layerchart-docs": {
      "url": "https://layerchart.mastra.cloud/api/mcp/layerChart/sse"
    }
  }
}

Verification & Quick Tests

Test the MCP connection using mcp-remote or curl:

# Test MCP connection
npx mcp-remote https://layerchart.mastra.cloud/api/mcp/layerChart/mcp

# Check HTTP endpoint
curl -I https://layerchart.mastra.cloud/api/mcp/layerChart/mcp

Available Tools

Once installed, your AI assistant will have access to these tools:

1. list_docs - List all available documentation pages and component routes from LayerChart.
2. get_doc - Get the documentation content for a specific route. Returns both rendered text and raw source code.
3. get_source - Fetch raw source code for a documentation page (usage) or component implementation (implementation) directly from GitHub.
4. search_docs - Search for documentation and components in the LayerChart repository.

Example Usage

After installing the MCP server in your editor, you can ask your AI assistant:

• "How do I use the BarChart component in LayerChart?"
• "Show me examples of using tooltips in LayerChart"
• "What are the props for the Axis component?"
• "Find documentation for the PieChart component"

📖 Programmatic Usage

import { MCPClient } from "@mastra/mcp";

const mcp = new MCPClient({
  servers: {
    layerchart: {
      url: "https://layerchart.mastra.cloud/api/mcp/layerChart/sse",
    },
  },
});

// Get available tools
const tools = await mcp.getTools();

// Call a tool directly
const result = await mcp.callTool("layerchart", "search_docs", {
  query: "BarChart",
});

🚀 Quick Start (Local Development)

1. Install dependencies:

npm install
# or
bun install

2. Run in development mode:

npm run dev
# or
bun run dev

3. Build and run production:

npm run build
npm run start

📦 Scripts

Script	Description
dev	Start Mastra in development mode
build	Build the Mastra project for production
start	Start the built Mastra server

🗂️ Project Structure

src/
├─ mastra/
│  ├─ tools/
│  │  ├─ getDoc.ts       # Hybrid text/code retrieval
│  │  ├─ getSource.ts    # GitHub mapping and fetching logic
│  │  ├─ listDocs.ts     # Sidebar scraping logic
│  │  └─ searchDocs.ts   # GitHub Search API integration
│  └─ index.ts           # Mastra configuration

Contributing

Contributions are welcome! Please follow these guidelines:

1. Fork the repo and create a feature branch
2. Follow Conventional Commits for commit messages
3. Submit a PR describing your change

License

MIT

References

• LayerChart Documentation
• Mastra Documentation
• Model Context Protocol