Supercharge your Claude, Cursor, and Codex. | Unstructured

Supercharge Claude, Cursor, and Codex.

Unstructured Foundation is a single MCP that solves agentic search for enterprise data.

Foundation solves three problems every AI agent faces: it can't see what's inside your files, it can't fit your company's knowledge into a single context window, and it can't search every system where information lives. Foundation fixes all three, giving agents access to the right information at the right time.

See it.

Claude sees file names. Foundation gives it X-ray vision to see inside them. More than 65 file types—including PDFs, presentations, spreadsheets, scans, audio, and video—are parsed into agent-ready context. And for the formats agents already read, Foundation reads them better: tables stay tables, layouts stay intact, and scanned documents become searchable text.

Find it.

A larger context window isn't the answer. The right context is. Foundation continuously indexes your organization's knowledge and delivers the exact spreadsheet, slide, clause, or document needed for the task at hand. Instead of flooding a model with information, it hands over only what matters. A spear, not a net. The result is better answers, fewer tokens, and stronger performance.

Use it.

Agents aren't slow because they're thinking. They're slow because they're searching. Every extra turn spent digging through files, opening documents, and calling tools burns both time and tokens. Foundation delivers exactly what's needed up front, so agents spend less time hunting and more time working. The result is faster answers, lower costs, and performance that scales as usage grows.

How It Works:

1. Install + Connect MCP

Install the Unstructured Foundation plugin and connect your MCP so your AI tools can securely access Foundation.

2. Connect Sources

Connect the systems your team already uses, including SharePoint, Google Drive, Slack, S3, and more.

3. Index Knowledge

Foundation indexes your content, turning files, tables, recordings, and documents into AI-ready knowledge.

4. Begin

Start asking questions in Claude, Cursor, or Codex and get the right context retrieved automatically.

Compatibility:

Claude, Cursor, and Codex

What it connects to:

Astra DB, Azure AI Search, Azure Blob Storage, Box, Confluence, Couchbase, Databricks Volumes, Delta Tables in Amazon S3, Delta Tables in Databricks, Dropbox, Elasticsearch, Google Cloud Storage, Google Drive, IBM FileNet, IBM watsonx.data, Jira, Kafka, Milvus, MongoDB, MotherDuck, Neo4j, OneDrive, OpenSearch, Outlook, Pinecone, PostgreSQL, Qdrant, Redis, S3, Salesforce, SharePoint, Slack, Snowflake, Teradata, Teradata Vector Store, VAST, Weaviate, Zendesk, and more.

File types supported:

.3GP .AAC .ABW .AVI .BMP .CSV .CWK .DBF .DIF .DOC .DOCM .DOCX .DOT .DOTM .EML .EPUB .ET .ETH .FLAC .FLV .FODS .HEIC .HTM .HTML .HWP .JPEG .JPG .M4A .MCW .MD .MPG .MW .ODT .OGG .OPUS .ORG .P7S .PBD .PCM .PDF .PNG .POT .PPT .PPTM .PPTX .PRN .RST .RTF .SDP .SXG .TIFF .TSV .TXT .WAV .WEBM .WMV .XLS .XLSX .XML .ZABW .MOV .MP2 .MP3 .MP4 .MPEG .MPEGS

FAQs

Answers to our most common questions around Foundation.

Why would I use Unstructured Foundation and not just throw my docs at an LLM?

Claude already connects to Drive and GitHub. Why do I need Unstructured Foundation?

Isn't this just memory? Doesn't Claude already remember things?

If my team uses different AI tools, will they get different answers?

Is this just a vector database?

What happens when my documents change?

Where does my data actually live? Are you storing data?

How does it know what I'm allowed to see?