Integrate Agents with MCP

Claude Desktop

Add the following to your claude_desktop_config.json file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "rippletide": {
      "type": "http",
      "url": "https://mcp.rippletide.com/mcp?agentId=<your-agent-id>"
    }
  }
}

Claude Code (CLI)

Run the following command in your terminal:

claude mcp add rippletide --transport http "https://mcp.rippletide.com/mcp?agentId=<your-agent-id>"

Or add it to your .claude/settings.json:

{
  "mcpServers": {
    "rippletide": {
      "type": "http",
      "url": "https://mcp.rippletide.com/mcp?agentId=<your-agent-id>"
    }
  }
}

Cursor

Add the following to your .cursor/mcp.json file at the root of your project (or globally in ~/.cursor/mcp.json):

{
  "mcpServers": {
    "rippletide": {
      "type": "http",
      "url": "https://mcp.rippletide.com/mcp?agentId=<your-agent-id>"
    }
  }
}

Windsurf

Add the following to your ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "rippletide": {
      "type": "http",
      "url": "https://mcp.rippletide.com/mcp?agentId=<your-agent-id>"
    }
  }
}

VS Code (GitHub Copilot)

Add the following to your .vscode/mcp.json file at the root of your project:

{
  "servers": {
    "rippletide": {
      "type": "http",
      "url": "https://mcp.rippletide.com/mcp?agentId=<your-agent-id>"
    }
  }
}

Or add it to your VS Code settings.json under mcp:

{
  "mcp": {
    "servers": {
      "rippletide": {
        "type": "http",
        "url": "https://mcp.rippletide.com/mcp?agentId=<your-agent-id>"
      }
    }
  }
}

Custom Agent / SDK

Use any MCP-compatible SDK or framework. Point your MCP client to the following URL:

https://mcp.rippletide.com/mcp?agentId=<your-agent-id>

The server supports Streamable HTTP transport.

Welcome

Agent Evaluation

Context Graph

Decision Runtime

Community

Overview

Step 1: Build your Agent

Step 2: Visualize and Test

Step 3: Add to your Agent

​Overview

​Step 1: Build your Agent

​Step 2: Visualize and Test

​Step 3: Add to your Agent

Overview

Step 1: Build your Agent

Step 2: Visualize and Test

Step 3: Add to your Agent