Alphamoon MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Check Alphamoon Status, Delete Document, Get Document, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Alphamoon through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Alphamoon app connector for Mastra AI is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"alphamoon": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Alphamoon Agent",
instructions:
"You help users interact with Alphamoon " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Alphamoon?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Alphamoon MCP Server
Connect your Alphamoon account to any AI agent and take full control of your automated document processing and intelligent data extraction workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Alphamoon tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Pipeline Orchestration — List and manage available document automation pipelines programmatically to coordinate high-fidelity data extraction tasks
- AI Data Extraction — Programmatically retrieve structured fields from processed documents (invoices, IDs, etc.) with high-fidelity accuracy and confidence scores
- Raw OCR Intelligence — Access the complete high-fidelity recognized text (OCR) from scanned files and PDFs directly through your agent
- Document Lifecycle Management — List all processed documents and monitor their status programmatically to maintain a perfectly coordinated audit trail
- Infrastructure Monitoring — Verify API connectivity and retrieve account-level metadata directly through your agent for instant operational reporting
The Alphamoon MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Alphamoon tools available for Mastra AI
When Mastra AI connects to Alphamoon through Vinkius, your AI agent gets direct access to every tool listed below — spanning alphamoon, ocr-api, document-extraction, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify connectivity
Delete a document
Get document details
Get extraction results
Get OCR results
Get process details
Get template details
List documents
List documents by process
List processes
List templates
Upload a document
Connect Alphamoon to Mastra AI via MCP
Follow these steps to wire Alphamoon into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Alphamoon MCP Server
Mastra AI provides unique advantages when paired with Alphamoon through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Alphamoon without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Alphamoon tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Alphamoon + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Alphamoon MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Alphamoon, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Alphamoon as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Alphamoon on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Alphamoon tools alongside other MCP servers
Example Prompts for Alphamoon in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Alphamoon immediately.
"List all my document automation pipelines in Alphamoon."
"Show the extraction results for document ID '90210'."
"Get the raw OCR text from document '90210'."
Troubleshooting Alphamoon MCP Server with Mastra AI
Common issues when connecting Alphamoon to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAlphamoon + Mastra AI FAQ
Common questions about integrating Alphamoon MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.