How to Use the Document360 MCP in Mastra AI

Q: Can Mastra AI workflows automatically retry failed Document360 API calls?

Yes, Mastra AI has built-in exponential backoff. If getarticle or search hits a rate limit, the workflow pauses and retries the request automatically.

Q: How do I enforce human approval before Mastra AI modifies Document360 categories?

Use the requireToolApproval option in Mastra. When the agent attempts to run a tool like listcategories or modify content, the system holds the execution until an admin approves it.

Build resilient, self-healing documentation workflows in Mastra AI using your live Document360 data.

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Connect Document360 MCP to Mastra AI

Create your Vinkius account to connect Document360 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 Document360 with Mastra AI

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Automate documentation audits with Mastra AI workflows

Chain multiple Document360 tasks together starting with `list_projects` to loop through every version. Mastra AI uses its workflow engine to run checks and find outdated articles across your entire workspace. If a step fails, the framework automatically retries the API call. You can write logic that checks `list_categories` and flags empty folders for review without manual intervention.

Build a human-in-the-loop review system for team edits

Keep your documentation accurate by using `list_team` to find the right editor. Your Mastra AI agent can locate the team member and pause the workflow until they sign off on the proposed edits. This MCP Server provides the tools to inspect article metadata via `get_article`. The agent drafts the updates, identifies the category owner, and waits for a manual trigger before pushing the final version.

Trigger conditional actions based on search analytics

Set up automated alerts when users can't find what they need by running a daily cron job using this MCP Server to query the `analytics` tool. This identifies the exact terms failing to return results. When the agent detects high-volume search terms with zero results, it branches the workflow to search your internal Slack channels and draft a new article stub in the correct category.

Setup guide

Set up Document360 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 Document360 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: "document360-mcp-client",
  servers: {
    "document360-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Document360 Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Document360 tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Document360 transactions"
);
console.log(result.text);

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Common questions about Document360 MCP in Mastra AI

Initialize the client with your Vinkius URL, then retrieve the tools using `listTools()`. Spread these tools directly into your Mastra agent definition so it can access your knowledge base.

Yes, Mastra AI has built-in exponential backoff. If `get_article` or `search` hits a rate limit, the workflow pauses and retries the request automatically.

Use the `requireToolApproval` option in Mastra. When the agent attempts to run a tool like `list_categories` or modify content, the system holds the execution until an admin approves it.

Absolutely. Mastra AI is built for modern TypeScript runtimes, allowing you to deploy your Document360 MCP Server to Cloudflare Workers or Vercel Edge with zero configuration changes.

Your API key is stored securely in Vinkius, which manages the connection. The Mastra AI agent only sends tool execution requests over an encrypted transport, ensuring your team accounts and article content remain protected.

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