How to Use the Ugosign MCP in Mastra AI

Q: Can I list documents using Ugosign and Mastra AI?

Yes, you use listdocuments to pull the inventory of files your workflow needs to process. It's a reliable way to feed data into subsequent steps.

Q: How do I manage signature requests using Ugosign and the Mastra AI MCP Server?

You can list all pending items with listsignaturerequests. This gives your workflow engine a clear queue of work to process next.

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Connect Ugosign MCP to Mastra AI

Create your Vinkius account to connect Ugosign 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 Ugosign with Mastra AI

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Initiate Signing Workflows

Use `create_signature_request` to kick off a new signing process. You just feed the tool a JSON string, and the workflow begins. This is how you start a multi-step operation that needs to handle failure gracefully.

Track Signature Progress

The `get_signature_request` tool lets your agent monitor progress. It tells you exactly where the signing process stands. You can also check historical records using `list_signature_requests`, building a complete audit trail for your workflow.

Retrieve Document Details

`get_document` gets all necessary info on a file. This is vital if you need to validate a document before proceeding. You can also get organization context with `get_organization`, ensuring the signer's details are correct for your compliance steps.

Setup guide

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

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

const result = await agent.generate(
  "List recent Ugosign 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 Ugosign. 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 Ugosign MCP in Mastra AI

You treat the MCP Server like another step in your process. You can build conditional branches that run signing actions only if preceding steps succeed or fail.

Yes, you use `list_documents` to pull the inventory of files your workflow needs to process. It's a reliable way to feed data into subsequent steps.

The server handles documents, organization details, and signature requests. Since you're running complex workflows, be sure your entire pipeline has solid access controls.

Yes, because Mastra handles automatic retries and exponential backoff. If a signing request fails temporarily, it'll try again automatically.

You can list all pending items with `list_signature_requests`. This gives your workflow engine a clear queue of work to process next.

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