How do I find my API Token?

Log in to your Lucidya account and navigate to Account Settings or API section to generate and copy your unique authorization token.

Does the AI analysis work for languages other than English?

Yes, Lucidya's AI is highly optimized for multiple languages, with specific advanced support for various Arabic dialects.

Can I retrieve historical social data?

You can retrieve any data that has been captured by your active monitors. Use the `monitor_details` tool to check what is currently being monitored.

Lucidya MCP Server for VS Code Copilot 7 tools — connect in under 2 minutes

Name: Lucidya
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 7 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Lucidya and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Lucidya MCP Server

Connect your Lucidya account to any AI agent to automate your social listening and customer engineering intelligence. This MCP server enables your agent to list monitors, analyze text sentiment using advanced AI, and retrieve unified customer profiles directly from natural language interfaces.

GitHub Copilot Agent mode brings Lucidya data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 7 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Social Listening — List all active and inactive monitors across Twitter, Instagram, and other sources
AI Analysis — Perform advanced sentiment analysis and Arabic dialect detection on any text string
CDP Access — Retrieve unified customer profiles and interaction histories from the Lucidya Customer Data Platform
Service Analytics — Query KPIs and performance metrics for customer service via the OmniServe API
Real-time Monitoring — Fetch complete metadata and status for your configured listening monitors

The Lucidya MCP Server exposes 7 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Lucidya to VS Code Copilot via MCP

Follow these steps to integrate the Lucidya MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Lucidya

Ask Copilot: "Using Lucidya, help me...". 7 tools available

Why Use VS Code Copilot with the Lucidya MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Lucidya through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Lucidya + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Lucidya MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Lucidya MCP Tools for VS Code Copilot (7)

These 7 tools become available when you connect Lucidya to VS Code Copilot via MCP:

analyze_text_sentiment

Analyze the sentiment of a given text

detect_arabic_dialect

Detect the specific Arabic dialect of a text

get_customer_profile

Get complete details for a customer profile

get_monitor_details

Get details for a specific monitor

get_omniserve_analytics

Query customer service analytics KPIs

list_cdp_customers

List customer profiles from CDP

list_social_monitors

List all social media monitors

Example Prompts for Lucidya in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Lucidya immediately.

"List all my social media monitors in Lucidya."

"Analyze the sentiment of this text: 'I am extremely happy with the new product release!'."

"Show the customer profile for ID 'cust-123' in the Lucidya CDP."

Troubleshooting Lucidya MCP Server with VS Code Copilot

Common issues when connecting Lucidya to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Lucidya + VS Code Copilot FAQ

Common questions about integrating Lucidya MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.