How to Use the Docamatic MCP in Mastra AI

Q: Can I list available templates within Mastra AI?

Call listavailablebuiltintemplates during your setup phase. Your agent will then know which document styles are available for the current task.

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Connect Docamatic MCP to Mastra AI

Create your Vinkius account to connect Docamatic 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 Docamatic with Mastra AI

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Perplexity

Automated PDF workflows in Mastra AI

Chain your document tasks using `generate_pdf_from_template` within your agent workflows. If a generation fails, use the built-in retry logic to try again. Integrate complex logic like document merging. Call `merge_multiple_pdfs` as a step in your pipeline to finalize reports before sending them to storage.

Conditional document logic

Use `list_generation_history` to verify success before moving to the next step. If the audit returns an error, your agent can branch to a failure handler. Draw custom overlays on existing files. The `add_elements_to_pdf` tool allows your agent to stamp or label documents based on previous workflow outcomes.

Visual feedback loops

Capture state changes with `take_web_screenshot`. Your agent can compare these screenshots to detect UI regressions in your reports. Convert HTML reports to images with `generate_image_from_html` for quick previews. This keeps your workflow lightweight by avoiding full PDF generation until the final step.

Setup guide

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

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

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

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Common questions about Docamatic MCP in Mastra AI

Add the MCP server to your client config. You can then spread the tools into your agent's toolset for immediate use in your workflows.

Use the tool approval flag in your client config. This forces the agent to pause before generating a document, requiring your manual sign-off.

Yes. Each tool call is standard, allowing you to wrap them in try-catch blocks or custom retry logic defined in your workflow engine.

Call `list_available_builtin_templates` during your setup phase. Your agent will then know which document styles are available for the current task.

The server treats your input as a transient request. Your financial data exists in the sandbox only long enough to render the file, then it is wiped.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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