Well Embed is a powerful integration platform that connects all your business tools into a single, unified data graph. With over 120 connectors and support for 11,000+ banks, it automatically reads, structures, and files data from any connected tool or uploaded document, eliminating manual data entry. The platform leverages AI-powered enrichment to intelligently link related records—for example, connecting an invoice to a payment and a contact—providing a traceable, context-rich view of your business operations.
Key features include a single MCP (Model Context Protocol) endpoint that exposes all connected tools as tools for AI agents like Claude, Cursor, and Codex. Well automatically reuses existing MCP endpoints from providers or generates one from their API, ensuring seamless integration. Authentication is persistently managed, so connections remain active across agent sessions without interruption. This enables agents to answer questions using real business data, scoped to your workspace.
Benefits include significant time savings by eliminating data re-keying, improved data accuracy through automated linking, and enhanced decision-making with a holistic view of your business. Use cases range from automating invoice-to-payment reconciliation to providing customer support agents with instant access to order history and contracts. Technical details include support for various record types (invoices, bank transactions, contacts, contracts), real-time data synchronization, and a user-friendly interface that allows you to query data using natural language or slash commands.
Well Embed is ideal for growing teams that need to connect disparate tools without complex setup. It offers a free tier with no credit card required, making it accessible for small businesses to start benefiting from unified data management. Whether you're a developer integrating AI agents or a business user seeking a single source of truth, Well Embed provides the infrastructure to connect, enrich, and act on your business data efficiently.
business analysts, operations teams, AI developers, data engineers, finance teams, IT managers