How to Use the KnowledgeOwl MCP in Mastra AI

Build automated documentation workflows in Mastra AI with direct knowledge base access.

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Connect KnowledgeOwl MCP to Mastra AI

Create your Vinkius account to connect KnowledgeOwl 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 KnowledgeOwl with Mastra AI

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Automate help center audits

Use `list_kb_articles` to pull your entire index into a Mastra agent. You can build a loop that checks for outdated content or broken links automatically. The agent processes the list and flags anything that needs a human eye. It's a faster way to keep your help center healthy.

Trigger workflows from search

Feed `search_help_center` results into a conditional branch. If the agent finds a relevant article, it can summarize it for the user. If the search returns nothing, the agent can trigger a secondary task like creating a support ticket. You decide the logic.

Access project metadata

Run `get_kb_project_info` to grab your configuration settings. This helps your agent understand the context of the help center it's working on. It's useful for logging or setting up environment-specific rules. You'll know exactly which project your agent is interacting with at all times.

Setup guide

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

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

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

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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 KnowledgeOwl. 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.

Why Choose Vinkius

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Common questions about KnowledgeOwl MCP in Mastra AI

You register the server in your agent definition. Then, the agent can trigger the search tool whenever a user asks a question about your docs.

Yes, the agent framework handles retries for you. If a call to the KnowledgeOwl API fails, the agent will attempt to finish the task based on your configuration.

Absolutely. You can branch your workflow based on the content returned from the KnowledgeOwl tools. It's a standard part of building a robust agent.

Data stays in transit between the server and your agent. Vinkius ensures the transport is ephemeral and encrypted.

The server uses a read-only policy. It can only see article text and category names, never your account credentials or user login data.

Use it with your favorite AI tools

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

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