How to Use the Lucidya MCP in Cursor

Q: How do I configure the Lucidya MCP Server in Cursor?

Add the server settings to your local .cursor/mcp.json file in your project root. The editor will automatically register the seven analytics tools, making them available in your Composer or Chat panels.

Build apps with live social data by querying Lucidya tools directly from the Cursor MCP Server.

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Connect Lucidya MCP to Cursor

Create your Vinkius account to connect Lucidya to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Lucidya with Cursor

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Generate Code with Live Customer Profiles in Cursor

The `list_cdp_customers` tool retrieves your customer profiles directly into the editor's context window. Your agent uses this live data to write and test integrations against actual customer schemas instead of relying on outdated mock structures. You can then call `get_customer_profile` to populate your local UI components with real user details during active development. This eliminates the guesswork of matching database fields to frontend elements.

Debug Arabic Dialect Classifiers

The `detect_arabic_dialect` tool parses regional language variations directly within your coding workspace. The tool returns precise dialect codes that your active agent can use to test local localization algorithms or validate routing logic. Running this tool inside the editor means you can write unit tests that validate how your app handles Gulf or Egyptian Arabic. You get immediate feedback on whether your parsing code actually works with real-world inputs.

Inspect Social Monitor Details

The `get_monitor_details` tool pulls the configuration of your active social listening streams into your terminal. This tool allows your agent to inspect tracking parameters and debug API payloads without leaving your code files. You can also use `list_social_monitors` to verify that your application is targeting the correct database IDs. Keeping your backend development closely aligned with your live social data structure is easy when you can verify schemas instantly.

Setup guide

Set up Lucidya MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Lucidya MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Lucidya transactions." If the MCP tools are loaded correctly, Cursor will call the Lucidya tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "lucidya-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lucidya. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Lucidya MCP in Cursor

Add the server settings to your local `.cursor/mcp.json` file in your project root. The editor will automatically register the seven analytics tools, making them available in your Composer or Chat panels.

Yes, when you use Agent mode, the editor can invoke tools like `analyze_text_sentiment` to process files in your workspace. It then writes the resulting sentiment classifications directly into your code.

You run the tools via the local configuration file which communicates with the secure remote API. This lets you build and test features that rely on `get_omniserve_analytics` without leaving your IDE.

Yes, the server exposes standard endpoints that Cursor can orchestrate across complex code generation tasks. This allows you to chain dialect detection and sentiment analysis into automated testing workflows.

The connection uses ephemeral environment variables managed through the Vinkius gateway. Your specific social search terms and sentiment scores are processed over TLS and never written to persistent logs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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