How to Use the Docdown MCP in Mastra AI

Q: How do I configure automatic retries for Docdown in Mastra AI?

Wrap generatenewdocument in a Mastra AI workflow step with custom retry parameters. The framework automatically executes exponential backoff if the API returns a transient error code.

Q: Can Mastra AI verify Docdown template fields before generation?

Yes. Your agent can call gettemplatefieldschema to validate the user's input payload. If fields are missing, the workflow halts and prompts the user for the specific data.

Q: How does Mastra AI handle bulk Docdown generation?

The framework processes bulk lists by invoking generatenewdocument in parallel steps. It tracks the progress of each document using listrecentlygenerateddocs to ensure all files complete successfully.

Build self-healing document workflows with Mastra AI and automated Docdown template generation.

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Setup Docdown with Mastra AI

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Automate template discovery in your agent loops

`search_templates_by_name` locates the correct layout based on natural language triggers within your Mastra AI workflow. This MCP agent matches user intent to a template ID without hardcoded routing rules. If the initial search yields multiple options, the workflow uses `get_template_details` to verify the field requirements. This ensures your automated steps never attempt to generate a document using the wrong form.

Build resilient Docdown MCP Server workflows

`generate_new_document` initiates the creation process inside an isolated Mastra AI step. If the API rate limit is reached, the framework's built-in retry engine handles backoffs automatically. This design prevents document generation pipelines from failing due to temporary network issues. Your workflows run reliably in background queues without manual developer intervention.

Track document status with conditional branching

`get_document_status` monitors the generation state of pending files. Mastra AI evaluates the returned status to branch your workflow, sending the PDF to an email tool if successful. In case of a failure status, the workflow routes to an error-handling branch. This lets your system notify an administrator or log the event without crashing the entire pipeline.

Setup guide

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

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

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

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Common questions about Docdown MCP in Mastra AI

Wrap `generate_new_document` in a Mastra AI workflow step with custom retry parameters. The framework automatically executes exponential backoff if the API returns a transient error code.

Yes. Your agent can call `get_template_field_schema` to validate the user's input payload. If fields are missing, the workflow halts and prompts the user for the specific data.

The framework processes bulk lists by invoking `generate_new_document` in parallel steps. It tracks the progress of each document using `list_recently_generated_docs` to ensure all files complete successfully.

Here's the thing: Vinkius manages your API keys securely. Your agent accesses the MCP Server endpoint using a single marketplace token, eliminating the need to store raw credentials in your codebase.

All API keys and document payload variables are isolated within Vinkius's zero-trust MCP environment. No data is cached permanently on our servers, and connections are discarded immediately after the tool execution finishes.

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