MCP Setup

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Overview

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Prerequisites

• An Yboard project (create one at yboard.dev)
• Your project’s API key (found in the dashboard under Settings)
• A supported AI coding assistant

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Local MCP Configuration (Recommended)

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Cursor

{
  "mcpServers": {
    "yboard": {
      "command": "npx",
      "args": ["-y", "@yboard/mcp-server@latest"],
      "env": {
        "YBOARD_API_KEY": "your-api-key"
      }
    }
  }
}

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Claude Code

claude mcp add yboard -- npx -y @yboard/mcp-server@latest

export YBOARD_API_KEY="your-api-key"

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VS Code (GitHub Copilot)

{
  "servers": {
    "yboard": {
      "command": "npx",
      "args": ["-y", "@yboard/mcp-server@latest"],
      "env": {
        "YBOARD_API_KEY": "your-api-key"
      }
    }
  }
}

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Remote MCP

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Connect and Bind Project

1. Go to your Yboard dashboard
2. Navigate to the Terminal tab
3. Select Remote MCP from the dropdown
4. Copy the provided SSE URL
5. Add it to your AI client’s MCP configuration

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Verify Installation

I'm using Yboard as my backend platform, call Yboard MCP's fetch-docs tool to learn about Yboard instructions.

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Troubleshooting

• Connection refused: Ensure your API key is correct and the project exists
• Timeout errors: Try the remote MCP option if local installation has issues
• Missing tools: Update to the latest MCP server version with npx @yboard/mcp-server@latest