Unstructured MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Unstructured through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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: {
"unstructured": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Unstructured Agent",
instructions:
"You help users interact with Unstructured " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Unstructured?"
);
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 Unstructured MCP Server
Connect your Unstructured.io account to any AI agent to automate data ingestion and document processing pipelines seamlessly. Transform complex files into clean, AI-ready data without leaving your workflow.
Mastra's agent abstraction provides a clean separation between LLM logic and Unstructured tool infrastructure. Connect 6 tools through the 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
- Data Sources — List all configured remote data connectors (e.g. S3, GCS, SharePoint) to see where documents can be pulled from.
- Data Destinations — Browse target locations (like Vector DBs or SQL databases) where structured output is sent.
- Processing Workflows — List end-to-end pipelines, retrieve specific workflow configurations, and explore source-destination mappings.
- Job Execution — Manually trigger immediate document ingestion and partitioning jobs, and track their execution IDs.
- Job Monitoring — List active and historical workflow execution jobs to monitor the progress of your document processing tasks.
The Unstructured MCP Server exposes 6 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.
How to Connect Unstructured to Mastra AI via MCP
Follow these steps to integrate the Unstructured MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 6 tools from Unstructured via MCP
Why Use Mastra AI with the Unstructured MCP Server
Mastra AI provides unique advantages when paired with Unstructured through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Unstructured 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 Unstructured 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
Unstructured + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Unstructured MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Unstructured, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Unstructured as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Unstructured on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Unstructured tools alongside other MCP servers
Unstructured MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Unstructured to Mastra AI via MCP:
get_workflow_details
Retrieves configuration details for a specific processing workflow
list_data_destinations
g. Vector DBs, SQL). Lists all configured target locations for processed data
list_data_sources
Lists all configured remote data connectors (e.g. S3, GCS)
list_processing_workflows
Lists all end-to-end document processing pipelines
list_workflow_jobs
Lists all active and historical workflow execution jobs
trigger_workflow_execution
Returns a job ID. Manually triggers an immediate execution of a processing workflow
Example Prompts for Unstructured in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Unstructured immediately.
"Show me all our active destination connectors."
"List the historical processing jobs from today."
"Trigger the engineering onboarding workflow."
Troubleshooting Unstructured MCP Server with Mastra AI
Common issues when connecting Unstructured to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpUnstructured + Mastra AI FAQ
Common questions about integrating Unstructured 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.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Unstructured with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Unstructured to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.