Quick Setup

Get started with AI-assisted Klever development in minutes.

Claude Code

Installation (Recommended)

Add the Klever VM MCP server via npx:

claude mcp add klever-vm -- npx -y @klever/mcp-server

Alternatively, connect to the public hosted server:

claude mcp add -t http klever-vm https://mcp.klever.org/mcp

Verify Installation

1. Open Claude Code in your terminal:

claude

2. Test your setup by typing:

/mcp

3. Then ask: "Do you have access to Klever knowledge base?"

Visual Studio Code

For developers who prefer VS Code, you can use the built-in MCP support with GitHub Copilot Chat for AI assistance.

Prerequisites

• Visual Studio Code 1.102 or newer with built-in MCP support (VS Code MCP Docs)
• GitHub Copilot Chat extension installed and enabled

Configuration

Create a .vscode/mcp.json file at the root of your project:

{
  "servers": {
    "klever-vm": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@klever/mcp-server"]
    }
  }
}

Using with Copilot Chat

1. Restart VS Code to auto-discover and start your MCP server
2. Open the GitHub Copilot Chat pane
3. Test the connection: "Do you have Klever Blockchain knowledge?"
4. Start using Klever-specific AI assistance for development

Claude Desktop

Configuration

Edit your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "klever-vm": {
      "command": "npx",
      "args": ["-y", "@klever/mcp-server"]
    }
  }
}

Restart Claude Desktop after saving the configuration.

Cursor

Configuration

Create a .cursor/mcp.json file at the root of your project:

{
  "mcpServers": {
    "klever-vm": {
      "command": "npx",
      "args": ["-y", "@klever/mcp-server"]
    }
  }
}

Restart Cursor after creating the configuration file.

Next Steps

• Learn about MCP Functions: View available tools and capabilities
• Try MCP Prompts: Use guided workflows
• Try it online: Explore AI-assisted Klever development at ai.klever.org.
• Explore Knowledge Base: Browse curated entries
• See Workflow Example: Complete development workflow

Need local development? For debugging, custom modifications, or offline work, see Run Locally.

Important Security Note: Always review MCP server configuration before running - MCP servers can execute code on your machine.