Typless

@Typless what document types are set up in our account? I need to know which schemas we can use for invoice extraction.

Based on your Typless account, you have 4 document types configured: 'US Invoice Standard' (ID: inv_us_001), 'EU VAT Invoice' (ID: inv_eu_002), 'Purchase Order' (ID: po_std_003), and 'Receipt - General' (ID: rcpt_gen_004). The US Invoice Standard schema includes fields for vendor name, invoice number, date, line items, subtotal, tax, and total. This is an illustrative example—your actual document types will reflect your account's custom schemas and training data.

This example shows the MCP's ability to list configured extraction schemas. Useful before processing documents to confirm the right template exists. Requires valid API key authentication. The actual document types returned depend entirely on what schemas your team has created and trained in the Typless dashboard.

@Typless update my profile email to jordan.lee@company.com and change my first name to Jordan

Profile updated successfully. Your email is now jordan.lee@company.com and your first name is set to Jordan. Last name remains unchanged. This is an illustrative example—the actual API response confirms the fields modified and returns the updated user object with a timestamp of the change.

This example demonstrates a write operation that modifies account settings. The MCP can update first name, last name, or email for the authenticated user. Be aware this is a permanent change to your Typless account profile—there's no undo via the MCP. Requires API key with write permissions.

@Typless check my user profile, then suggest which document type I should use for processing vendor invoices from European suppliers

Your Typless profile shows you're authenticated as Alex Chen (alex.chen@company.com), account created March 2024. Based on your available document types, I recommend using the 'EU VAT Invoice' schema (ID: inv_eu_002) for European vendor invoices. This schema is trained to extract VAT numbers, IBAN details, and EU-specific tax fields that US invoice templates don't capture. This is an illustrative example combining profile retrieval with schema recommendation logic.

This example pairs two MCP tools—profile retrieval and document type listing—with the AI's reasoning to provide a contextualized recommendation. Demonstrates how Typless integration works best when the AI synthesizes account state with the user's workflow question. The recommendation quality depends on how well your schemas are named and configured.

When Typless makes sense for recurring document extraction

A 3-person finance team at a B2B SaaS company processes 200+ vendor invoices monthly. They need line-item data in their ERP but don't want to hire a VA or build custom OCR. Typless wins here if the invoices follow 5-10 consistent templates—its document-type schemas let the team define extraction rules once, then run them in batch. The Get Document Types tool confirms which schemas are live before processing. The trade-off: if your invoices are one-off PDFs with wildly different layouts every time, you'll spend more time tweaking schemas than you save. This MCP is the right call when your document volume justifies setup and your formats repeat.

Borderline fit for support teams handling mixed uploads

A 6-person support team at a fintech startup gets 50 tickets daily, many with uploaded bank statements or ID scans. They want an AI agent to flag which tickets need manual review based on document content. Typless can extract structured data from those uploads if the team pre-defines document types for each category. The Get User Profile tool confirms auth is working before the agent starts pulling data. The problem: support tickets bring unpredictable formats—handwritten notes, screenshots, PDFs with varying quality. If more than 30% of your uploads fall outside your schema library, you'll hit a wall. This MCP works when your attachment types are known and finite, not when every ticket is a surprise.

Strong match for compliance-heavy hiring workflows

A 10-person HR team at a healthcare company onboards 15 new hires monthly, each submitting W-4s, I-9s, and state tax forms. They need extracted data in their HRIS without manual keying. Typless is built for this: the document types are standardized by law, so schemas stay stable across hires. The Update User Profile tool lets the team adjust account settings as compliance rules shift. The constraint is volume—if you're onboarding 200 people a month, you'll want a dedicated compliance platform with deeper audit trails. Below 50 hires monthly, this MCP delivers fast ROI because the documents never change shape and the extraction accuracy compounds over time.