How to Use the Lucidya MCP in Mastra AI

Q: Is it easy to use Lucidya with Mastra AI branching?

It is. You simply use the output of tools like analyzetextsentiment to drive your conditional logic. The agent branches based on the data returned by the tool.

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Connect Lucidya MCP to Mastra AI

Create your Vinkius account to connect Lucidya to Mastra AI 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 Mastra AI

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Claude

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Automated workflow triggers for Mastra AI

Create conditional paths that react to social changes automatically. You hook `list_social_monitors` into your Mastra agent to trigger specific actions when new posts hit your dashboard. If the sentiment drops, the workflow handles it. You define the logic once and let the agent manage the execution flow without manual oversight.

Dialect-aware agent logic in Mastra AI

Use `detect_arabic_dialect` to route customer inquiries to the right support agent. Your Mastra workflow can branch based on the language profile detected in the social post. This ensures accuracy. You aren't just guessing the context; you are using the specific dialect data to inform your agent's next move.

KPI-driven automation for Mastra AI

Query your service metrics using `get_omniserve_analytics` to adjust your agent's behavior based on current performance. Your Mastra workflow reads these KPIs to decide if it needs to escalate a ticket. It keeps your operations tight. You build a self-correcting system that adjusts to real-world data rather than static rules.

Setup guide

Set up Lucidya MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Lucidya tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "lucidya-mcp-client",
  servers: {
    "lucidya-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Lucidya Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Lucidya tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Lucidya transactions"
);
console.log(result.text);

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Common questions about Lucidya MCP in Mastra AI

Initialize the MCP client within your Mastra setup and spread the tools into your agent configuration. The framework handles the integration automatically.

Mastra provides built-in retry logic for your workflows. You can configure your agent to re-attempt tool calls if the initial request encounters a temporary network issue.

It is. You simply use the output of tools like `analyze_text_sentiment` to drive your conditional logic. The agent branches based on the data returned by the tool.

You can use Mastra's approval settings to gate specific tool calls. This lets you review the agent's proposed action before it executes a sensitive query.

The server uses a secure, ephemeral connection to access your CDP data. It only reads the specific profiles your agent requests during the workflow execution.

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