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Blend Labs, Inc., a leading digital origination platform for banks, credit unions, and mortgage lenders, today announced the launch of Autopilot MCP, a server built on Model Context Protocol, the emerging open standard for AI agent connectivity, that gives authorized agents secure, programmatic access to the full Blend platform. For lenders and partners, Autopilot MCP opens a new category of possibility: the ability to build and deploy AI agents tailored to their own workflows, guidelines, and borrower experiences, without rebuilding the infrastructure underneath.
Autopilot MCP gives any agent access to Blend's full origination stack through single interface: credit, underwriting, compliance, disclosures, and closing.
Agents can execute lending workflows including pulling credit, checking pricing, and verifying compliance.
Each agent operates against lender's own data, guidelines, and loan workflows inside Blend.
New Blend capabilities available automatically to every lender with Autopilot activated.
Every agent action logged with full audit trail; destructive operations gated until lender enables them.
Built on Model Context Protocol introduced by Anthropic in 2024.
Before MCP, deploying AI in lending required a separate integration for every system an agent needed to touch. In mortgage, that's dozens of systems before a single loan closes: credit bureaus, pricing engines, underwriting platforms, title companies, compliance tools, disclosure systems — most built decades apart and never designed to work together. Each new connection brought its own engineering project, its own security review, its own compliance sign-off. With Autopilot MCP, any agent, whether Blend-built, lender-built, or partner-built, can access Blend's full origination stack through a single interface.
Agentic workflow execution enables agents to execute lending workflows — pulling credit, checking pricing, and verifying compliance — preparing a complete, sequenced submission for the loan officer to decision, rather than merely surfacing information that requires manual follow-through. Institution-specific configuration allows each agent to operate against that lender's own data, guidelines, and loan workflows inside Blend, applying institution-specific rules for portfolio products, HELOCs, or proprietary overlays. Continuous platform updates mean new Blend capabilities are available automatically to every lender with Autopilot activated, eliminating upgrade cycles or implementation projects. Built-in access controls ensure every agent action is logged with a full audit trail, access is controlled at the lender level, credentials are isolated per deployment, and destructive operations (rate locks, credit pulls, disclosure delivery) are gated until a lender is ready to enable them.
Until now, the hardest problem in lending AI wasn't the intelligence of the models. It was getting them connected to the right systems, with the right controls, in a way a bank's compliance team could actually approve. Autopilot MCP solves that. The intelligence is customizable, the infrastructure is shared. Lenders aren't buying a specific AI feature. They're getting a surface they can program. As Blend Autopilot continues to expand, lenders who build on Autopilot MCP today will be positioned to extend and complement those capabilities as they become available.
About Blend
Blend Labs, Inc. is a leading origination platform for digital banking solutions. Financial providers — from large banks, fintechs, and credit unions to community and independent mortgage banks — use Blend's platform to transform banking experiences for their customers.
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