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Servers/Code Execution/Unstructured
Code ExecutionOfficial
U

Unstructured

Set up and interact with your unstructured data processing workflows in Unstructured Platform

43 starsUpdated Jul 21, 2026
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Overview

> [!NOTE] > This server interacts with the Unstructured API to manage sources, destinations, and workflows. It is not actively maintained and is kept here for reference. > > If you want to parse and transform files into structured output (markdown, JSON, HTML, or plain text), use the Unstructured Transform MCP server instead. > > Unstructured Transform brings production-grade document processing to your agents as a hosted MCP server. It gives them the ability to turn 60+ file types into structured data that's ready for your applications, vector databases, and any downstream processes by parsing, enriching, chunking, and embedding files directly inside their current session. > > You can start using it by signing up here.

Installation

uvx pip install -e .

Configuration

{
   "mcpServers": {
      "UNS_MCP": {
         "command": "uvx",
         "args": ["uns_mcp"],
         "env": {
           "UNSTRUCTURED_API_KEY": "<your-key>"
         }
      }

Capabilities

  • List available sources and destinations

    Use `list_sources` and `list_destinations` to see which connectors are configured in your Unstructured account.

  • Manage source and destination connectors

    Create, update, or delete connectors via `create_source_connector`, `update_destination_connector`, and related tools.

  • Run and monitor ingestion workflows

    Trigger a workflow with `run_workflow`, then track its jobs using `list_jobs` and `get_job_info`.

  • Find workflows with completed jobs

    Call `list_workflows_with_finished_jobs` to identify workflows that have finished processing.

  • Crawl websites into your pipeline

    Start a Firecrawl crawl with `invoke_firecrawl_crawlhtml` and check status via `check_crawlhtml_status`.

Tags

  • document
  • data-analysis
  • workflow-automation
  • cloud-storage

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