How to Use the Lucidya MCP in VS Code Copilot

Q: How do we share the Lucidya MCP Server configuration in VS Code Copilot?

Create a .vscode/mcp.json file in your repository root and commit it to git. Every team member using the Copilot extension will instantly have access to the seven analytics tools.

Q: How do we query customer details using Lucidya in VS Code Copilot?

You run the getcustomerprofile tool by passing a customer ID directly to your chat agent. The tool retrieves the complete profile from your CDP and formats the details inside your editor.

Q: Is our proprietary customer service KPI data safe with this extension?

All analytics queries processed via getomniserveanalytics are encrypted end-to-end. Your operational KPIs and support ticket volumes are transmitted directly to your editor and are never cached by third parties.

Share Lucidya analytics tools with your entire engineering team inside VS Code Copilot with this MCP Server.

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Connect Lucidya MCP to VS Code Copilot

Create your Vinkius account to connect Lucidya to VS Code Copilot 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 VS Code Copilot

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Share Social Monitors with this MCP Server

The `list_social_monitors` tool exposes your active tracking campaigns to any developer on your team. By saving this configuration in your repository, everyone gains the ability to query active listening streams directly from their chat panel. Your team can then call `get_monitor_details` to verify that the correct tracking keywords are deployed. This prevents duplicate monitoring setups and keeps your engineering team in sync with marketing operations.

Retrieve Customer Service Analytics

The `get_omniserve_analytics` tool pulls operational performance metrics directly into your VS Code chat window. The tool returns key performance indicators like first response times and resolution rates from your customer service queues. Your agent can parse this raw data to generate quick reports or identify bottleneck patterns. Having this information inside your editor helps you debug performance issues without switching to an external reporting suite.

Analyze Sentiment and Arabic Dialects

The `analyze_text_sentiment` tool processes raw feedback strings to determine user emotion during team review sessions. This tool runs alongside `detect_arabic_dialect` to help developers understand regional nuances in user-submitted bug reports. Your agent handles the translation and sentiment analysis steps in a single conversational flow. This speeds up the triage process for localized support tickets coming from the MENA region.

Setup guide

Set up Lucidya MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Lucidya MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Lucidya tools listed. Try asking: "List my recent Lucidya transactions" and Copilot will invoke them automatically.

.vscode/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 VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root and commit it to git. Every team member using the Copilot extension will instantly have access to the seven analytics tools.

Yes, you can ask your agent to process a file containing user feedback using the `analyze_text_sentiment` tool. It will append the sentiment scores directly to the file or output a summary in the chat.

You run the `get_customer_profile` tool by passing a customer ID directly to your chat agent. The tool retrieves the complete profile from your CDP and formats the details inside your editor.

Yes, the server runs inside a zero-trust sandbox environment on Vinkius. This ensures that your API keys are never exposed to the frontend or saved in your Git repository.

All analytics queries processed via `get_omniserve_analytics` are encrypted end-to-end. Your operational KPIs and support ticket volumes are transmitted directly to your editor and are never cached by third parties.

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