How to Use the PandaDoc MCP in Mastra AI

Q: How do Mastra AI agents select the correct PandaDoc template?

Your Mastra AI agent calls listtemplates to retrieve your active PandaDoc templates, then parses the metadata to find the best match. This allows the Mastra AI agent to dynamically choose a PandaDoc layout based on the customer's CRM data.

Build automated signing pipelines with Mastra AI agents and conditional workflows.

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Connect PandaDoc MCP to Mastra AI

Create your Vinkius account to connect PandaDoc 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 PandaDoc with Mastra AI

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Build resilient contract pipelines with Mastra AI

`create_document` serves as the entry point for your automated Mastra AI document workflows using this MCP Server. The Mastra AI engine lets you build conditional paths, meaning if a PandaDoc contract generation fails, the system automatically retries with exponential backoff. Once the document is built, your Mastra AI agent uses `send_document` to mail it to the recipient. If the recipient doesn't sign the PandaDoc file within three days, Mastra's scheduler can trigger a follow-up action automatically.

Human-in-the-loop approval for high-value contracts

`get_document_details` allows your Mastra AI agent to inspect a contract's metadata using the MCP Server before moving to the next workflow stage. For PandaDoc deals over a certain threshold, you can configure the Mastra AI framework to pause execution and request human approval. When the administrator approves the draft, the Mastra AI agent calls `create_signing_session` to generate the secure embedded link. This ensures no high-value PandaDoc contract gets sent without human eyes verifying the details via Mastra's approval workflow.

Clean up rejected and draft agreements automatically

`delete_document` helps you manage your account workspace by removing abandoned or rejected PandaDoc drafts programmatically within Mastra AI. Your Mastra AI agent can scan your PandaDoc folders, identify stale contracts, and purge them. To find these stale files, the Mastra AI agent uses `list_documents` with status filters to locate drafts that haven't been modified. This keeps your PandaDoc storage clean without requiring manual audits from your Mastra AI operations team.

Setup guide

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

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

const result = await agent.generate(
  "List recent PandaDoc 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 PandaDoc. 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.

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Common questions about PandaDoc MCP in Mastra AI

Mastra AI uses a built-in workflow engine that automatically retries failed calls to `create_document` or `send_document`. You can configure specific Mastra AI backoff limits to handle temporary PandaDoc API rate limits smoothly.

Yes, you can use Mastra's human-in-the-loop feature to pause the agent before it calls `send_document`. The Mastra AI agent waits for a webhook or manual trigger before dispatching the PandaDoc contract to the recipient.

Your Mastra AI agent calls `list_templates` to retrieve your active PandaDoc templates, then parses the metadata to find the best match. This allows the Mastra AI agent to dynamically choose a PandaDoc layout based on the customer's CRM data.

You initialize the server connection using the Mastra MCP client, then spread the retrieved PandaDoc tools directly into your Mastra AI agent's tool configuration. The agent instantly gains access to all PandaDoc document management capabilities.

The Mastra AI integration processes your PandaDoc recipient emails, PDF files, and contract metadata entirely in memory during run execution. No PandaDoc document data is stored permanently on Vinkius, maintaining strict isolation for your signing files within the Mastra AI runtime.

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