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InsightFlow

Source

InsightFlow - a real-time analytics dashboard server with an MCP (Message Control Protocol) architecture that integrates with AI services like Claude or Cursor. This solution enables real-time data analytics with natural language query capabilities.

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Overview

InsightFlow is a real-time analytics dashboard server that utilizes the Model Context Protocol (MCP) to integrate with AI services like Claude for intelligent data analysis and decision support.

To use InsightFlow, clone the repository, set up a virtual environment, install dependencies, configure the environment, and start the server to access the API documentation.

  • Full support for Model Context Protocol (MCP) for advanced AI capabilities - Real-time data processing and analytics - AI-powered insights using Claude AI - Flexible data processing from multiple sources - Comprehensive RESTful and WebSocket API support
  1. Real-time data analytics for business intelligence
  2. AI-driven insights for decision-making
  3. Integration with various data sources for comprehensive analysis

Add to your AI client

Use these steps to connect InsightFlow in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "insightflow-ilissrk": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-insightflow-ilissrk"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "insightflow-ilissrk": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-insightflow-ilissrk"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "insightflow-ilissrk": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-insightflow-ilissrk"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "insightflow-ilissrk": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-insightflow-ilissrk"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "insightflow-ilissrk": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-insightflow-ilissrk"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "insightflow-ilissrk": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-insightflow-ilissrk"
      ]
    }
  }
}

FAQ

What is the Model Context Protocol (MCP)?

MCP is a protocol that enables advanced AI capabilities and seamless integration with AI services.

Is InsightFlow free to use?

Yes! InsightFlow is open-source and free to use.

What technologies does InsightFlow use?

InsightFlow is built with Python, FastAPI, and integrates with the Anthropic Claude API for AI functionalities.

Research and data