How to Use the Alphamoon MCP in Mastra AI

Q: How do I connect Alphamoon to Mastra AI?

Install @mastra/mcp@latest and initialize the client with your Vinkius URL. Spread listTools() into your agent configuration.

Q: How do I require human approval for Alphamoon deletions in Mastra AI?

Enable requireToolApproval for the specific deletion tool. The workflow pauses execution until an administrator signs off on the MCP action.

Build resilient document processing workflows with Mastra AI and Alphamoon.

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Connect Alphamoon MCP to Mastra AI

Create your Vinkius account to connect Alphamoon 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 Alphamoon with Mastra AI

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Perplexity

Automate document ingestion

The `upload_document` tool initiates the transfer within your Mastra AI workflow. Pushing files into the system requires reliable handling to avoid silent failures. If the upload times out, the framework's built-in exponential backoff retries the connection automatically. Successful transfers return an ID that your next workflow step consumes immediately.

Branch logic by extraction state

Your agent runs `get_extraction_results` to pull the parsed key-value pairs from a processed invoice. Complex workflows demand conditional routing based on what data actually returns. Missing fields trigger a failure branch that alerts a human reviewer. Perfect matches proceed to the storage step, where `delete_document` wipes the original file from the processing queue to maintain a clean MCP Server workspace.

Batch processing via MCP Server

The `list_documents_by_process` tool retrieves every file associated with a specific batch job. Extracting hundreds of files manually wastes hours of compute time. Agents iterate through that list, feeding each ID into `get_document` to extract metadata. The system compiles these details into a final report before closing the session.

Setup guide

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

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

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

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