Clarid HMDA Validator
Validate Home Mortgage Disclosure Act LAR files against CFPB edit checks before regulatory submission from a community bank or credit union stack.
Overview
ai.clarid/hmda is a MCP server for the Ship phase that validates HMDA LAR files against CFPB edit checks for community banks and credit unions.
What is this MCP server?
- Validates HMDA Loan Application Register files against CFPB edit checks
- Aimed at community banks and credit unions preparing regulatory submissions
- Remote MCP at https://api.clarid.ai/mcp (streamable-http)
- Clarid HMDA Validator v1.0.0 from clarid-ai/compliance-checker repo
- Remote MCP URL: https://api.clarid.ai/mcp
- Server version 1.0.0
- Validation scope: HMDA LAR against CFPB edit checks
What problem does it solve?
HMDA LAR rejections and resubmissions waste weeks because edit-check failures surface late in manual QA spreadsheets.
Who is it for?
Solo devs or small ops teams at community banks and credit unions who file HMDA and want MCP-driven validation on real LAR exports.
Skip if: Institutions not subject to HMDA, teams needing full loan origination systems, or builders without actual LAR file data to validate.
What do I get? / Deliverables
You catch CFPB edit violations in LAR files inside agent workflows before filing, reducing resubmission risk.
- CFPB-oriented LAR validation results
- Structured feedback to fix edit-check failures
- Pre-submission confidence for HMDA filing workflows
Recommended MCP Servers
Journey fit
How it compares
MCP HMDA LAR validator, not a mortgage LOS integration or generic CSV lint tool.
Common Questions / FAQ
Who is ai.clarid/hmda for?
It is for community bank and credit union teams—and the developers who support them—who must pass CFPB HMDA edit checks on LAR files before regulatory submission.
When should I use ai.clarid/hmda?
Use it in the ship phase when LAR exports are complete and you need automated edit-check validation before signing off on the filing package.
How do I add ai.clarid/hmda to my agent?
Add the remote MCP server https://api.clarid.ai/mcp as streamable-http in your MCP client, then invoke HMDA validation tools with your LAR file or data the tools accept.