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AI Agent for Unstructured MCP

Supercharge your data workflows with the Unstructured API MCP Server integration. Seamlessly manage connectors, automate source and destination setup, orchestrate workflows, and monitor jobs—all in one place. Empower your AI agents with robust, scalable data operations across cloud storage, vector databases, enterprise apps, and more.

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Unified Data Connector Management

Streamline your enterprise integrations with centralized tools to create, update, and manage source and destination connectors. Easily connect S3, Azure, Google Drive, Salesforce, Weaviate, Pinecone, MongoDB, and more. Simplify credential handling and configuration for rapid deployment.

Connector Lifecycle Automation.: Create, update, and delete source and destination connectors in just a few clicks.
Multi-Cloud Integration.: Connect seamlessly to AWS S3, Azure, Google Drive, OneDrive, and more.
Credential Management.: Securely manage API keys and credentials for every connector type.
Customizable Setup.: Tailor connector configurations and workflows to fit your enterprise data architecture.

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Workflow Orchestration & Automation

Build, run, and monitor end-to-end workflows that automate data movement between sources and destinations. Schedule jobs, track statuses, and optimize for reliability and speed—all with robust error handling and real-time visibility.

Automated Workflow Creation.: Design and deploy workflows that connect sources, destinations, and custom logic.
Job Scheduling & Monitoring.: Track job progress, handle retries, and view completed workflows in real time.
Robust Error Handling.: Minimize downtime with built-in error tracking and job cancellation tools.

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Advanced Data Crawling & LLM Optimization

Harness Firecrawl-powered web crawling to extract, analyze, and clean web content at scale. Automatically generate LLM-optimized text for your AI models and seamlessly integrate results with your data pipeline.

Web Content Extraction.: Crawl entire websites, retrieve HTML, and extract structured data with Firecrawl integration.
LLM-Optimized Text Generation.: Automatically transform crawled data into formats optimized for large language models.
Direct S3 Uploads.: Send extracted and optimized content directly to your S3 storage for seamless workflow integration.

MCP INTEGRATION

Available Unstructured API MCP Integration Tools

The following tools are available as part of the Unstructured API MCP integration:

list_sources: Lists available sources from the Unstructured API.
get_source_info: Get detailed information about a specific source connector.
create_source_connector: Create a new source connector with provided parameters.
update_source_connector: Update an existing source connector using supplied parameters.
delete_source_connector: Delete a source connector by its source ID.
list_destinations: Lists available destinations from the Unstructured API.
get_destination_info: Get detailed information about a specific destination connector.
create_destination_connector: Create a destination connector with your specified parameters.
update_destination_connector: Update an existing destination connector by destination ID.
delete_destination_connector: Delete a destination connector using its destination ID.
list_workflows: Lists all workflows available from the Unstructured API.
get_workflow_info: Get detailed information about a specific workflow.
create_workflow: Create a new workflow using provided source, destination, and other parameters.
update_workflow: Update an existing workflow with new parameters.
delete_workflow: Delete a workflow by its ID.
run_workflow: Run a specific workflow using its workflow ID.
list_jobs: Lists jobs for a specific workflow from the Unstructured API.
get_job_info: Get detailed information about a specific job by its job ID.
cancel_job: Cancel or delete a specific job by its ID.
list_workflows_with_finished_jobs: Lists all workflows that have completed jobs, including source and destination details.
invoke_firecrawl_crawlhtml: Initiate a Firecrawl job to crawl and extract HTML content from a website.
check_crawlhtml_status: Check the status of a running Firecrawl HTML crawl job.
cancel_crawlhtml_job: Cancel a running Firecrawl crawl job if needed.
invoke_firecrawl_llmtxt: Start an LLM-optimized text generation job from crawled pages using Firecrawl.
check_llmtxt_status: Retrieve the status and results of an LLM text generation job from Firecrawl.
cancel_llmtxt_job: Attempt to cancel an LLM text generation job (not currently supported by Firecrawl).

Get Started with Unstructured API MCP Server

Easily integrate, manage, and automate your data workflows with the Unstructured API MCP Server. Connect your sources and destinations, streamline your processes, and leverage powerful tools to enhance your data pipeline operations.

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What is Unstructured

Unstructured is a data transformation platform that specializes in processing, extracting, and structuring unstructured data from diverse sources. The company provides tools that convert raw documents—such as PDFs, emails, HTML, images, and more—into user-friendly, machine-readable formats that are ready for use in AI, analytics, and enterprise search applications. By leveraging advanced parsing, extraction, and normalization techniques, Unstructured empowers organizations to organize and manage scattered, messy information. This makes it easier to utilize data for large language models (LLMs), generative AI, and other machine learning tasks, ultimately enabling businesses to unlock insights and value from data that was previously difficult to use.

Capabilities

What we can do with Unstructured

Unstructured's service allows users to seamlessly transform and prepare their unstructured data for AI and analytics. You can extract information from a wide variety of file types, clean and organize data, and convert it into formats that are suitable for search, LLMs, and enterprise applications. Its APIs and tools are designed for scalability and ease of integration, supporting workflows from basic document parsing to complex data pipelines.

Document Extraction: Automatically extract text and metadata from PDFs, emails, images, presentations, and more.
Data Structuring: Convert messy, unstructured content into clean, machine-readable formats tailored for LLMs and analytics.
Enterprise Search: Index and prepare documents to improve search and retrieval within business environments.
AI & ML Readiness: Prepare and format data so it’s easily consumable by large language models and generative AI.
Workflow Automation: Integrate into data pipelines to automate processing, cleaning, and enrichment of raw information.

How AI Agents Benefit from Unstructured

AI agents can leverage Unstructured’s capabilities to access high-quality, structured data from a variety of unorganized sources. By automating the extraction and normalization process, AI agents gain reliable, context-rich inputs, improving the accuracy and effectiveness of downstream AI models and decision-making. This enables more robust generative AI, enhanced search experiences, and seamless integration of enterprise knowledge into intelligent applications.