How to Use the Elevio MCP in Mastra AI

Q: How do I fetch specific article text?

Your workflow uses the getarticledetails tool. You pass the specific article ID, and the agent retrieves the full content and settings for downstream processing.

Build resilient documentation workflows in Mastra AI using the Elevio MCP Server.

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Connect Elevio MCP to Mastra AI

Create your Vinkius account to connect Elevio 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 Elevio with Mastra AI

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Automate Mastra AI content audits

Documentation rots if you ignore it. You can build a Mastra AI workflow that runs a daily check on your support center using `quick_content_health_audit` to grab high-level volume metrics. If the metrics look off, the workflow branches automatically. It triggers `list_empty_knowledge_categories` to find structural dead ends. If the API times out, Mastra handles the exponential backoff and retries the request until it succeeds.

Build conditional publishing pipelines

Your agent needs to know what content is floating around before making decisions. It calls `list_draft_knowledge_articles` to gather everything sitting in the queue. Mastra evaluates that list against the latest updates fetched via `list_latest_article_updates`. If a draft has been untouched for weeks, the workflow can alert a human reviewer using the requireToolApproval hook before taking further action.

Sync categories and active modules

Complex support setups break when categories shift unexpectedly. Your workflow can map the entire structure by calling `list_knowledge_categories` and comparing it against known baselines. It then runs `list_active_modules` to ensure search and ticket modules are actually live. If something is missing, Mastra catches the discrepancy and routes a failure notification to your engineering channel.

Setup guide

Set up Elevio 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 Elevio 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: "elevio-mcp-client",
  servers: {
    "elevio-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Elevio MCP in Mastra AI

Install @mastra/mcp and instantiate a new MCPClient. Pass your Elevio server URL into the servers object, then spread mcpClient.listTools() into your Agent's tool configuration.

Yes. Mastra has built-in retry logic. If a heavy call to list_knowledge_articles hits a limit, the framework applies exponential backoff and tries again automatically.

Your workflow uses the get_article_details tool. You pass the specific article ID, and the agent retrieves the full content and settings for downstream processing.

You can. Configure Mastra to pause the workflow after running search_knowledge_articles. The process waits for a human to review the results before moving to the next step.

This integration accesses your draft knowledge articles, active modules, and search queries. Vinkius enforces a zero-trust architecture. Your workflows pull this data through a secure endpoint token, and no persistent connections remain after the run completes.

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