HMDA Mortgage Data

com.olyportPublished by olyport.comOfficial publisherv1.1.0Updated Oct 24, 2026

Home mortgage lending patterns, denial rates, and fair lending data

The publisher's own server: BEA Economic Accounts

VerifiedStreamable HTTPWeb executableFinanceData & Analytics

Overview

AI-generated overview

Lets an assistant query US HMDA mortgage lending data: loan-level records, aggregate statistics, denial reasons, and lending by race and ethnicity.

What you can do
Provides four tools over Home Mortgage Disclosure Act data reported by financial institutions. get_mortgage_data returns loan-level application and origination records, get_aggregate_stats summarizes applications, originations, denials and loan amounts for an area, get_denial_reasons breaks down why applications were denied, and get_lending_by_race disaggregates origination and denial data by applicant race and ethnicity. Most tools take a state or county FIPS filter.
When to use it
Useful for fair lending analysis, research on homeownership barriers in specific communities, or comparing lending activity across states and counties.
Requirements
A remote MCP endpoint; no local runtime, package, account, API key or environment variable is declared. Network access to the endpoint is needed.
Before you install
Queries return loan-level records reported by financial institutions, including applicant race and ethnicity; treat results as sensitive data. Supplying a state or county filter is recommended to limit result size.

Installation

In SourceWeft

  1. Open HMDA Mortgage Data in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/com.olyport%2Fhmda/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "hmda-mortgage-data": {
      "type": "http",
      "url": "https://mcp.olyport.com/hmda/mcp"
    }
  }
}

Tools

4

get_mortgage_data

Get Home Mortgage Disclosure Act (HMDA) loan-level data. Returns mortgage application and origination records reported by financial institutions under HMDA. At least one geographic filter (state or county_fips) is recommended to limit results. Args: state: Two-letter US state abbreviation (e.g. 'CA', 'TX'). county_fips: Five-digit county FIPS code (e.g. '06037' for LA County). year: Data year (e.g. 2022). Defaults to 2022 if not specified. action_taken: Loan action code: '1' (originated), '2' (approved not accepted), '3' (denied), '4' (withdrawn), '5' (incomplete). loan_type: Loan type code: '1' (conventional), '2' (FHA-insured), '3' (VA-guaranteed), '4' (USDA/RHS). limit: Maximum number of records to return (default 100, max 1000).

Parametersyearlimitstateloan_typecounty_fipsaction_taken

get_aggregate_stats

Get aggregate mortgage lending statistics for a geographic area. Returns summary statistics including total applications, originations, denials, and loan amounts. Useful for understanding overall lending activity in a state or county. Args: state: Two-letter US state abbreviation (e.g. 'CA', 'TX'). county_fips: Five-digit county FIPS code (e.g. '06037' for LA County). year: Data year (e.g. 2022). Defaults to 2022 if not specified.

Parametersyearstatecounty_fips

get_denial_reasons

Get mortgage denial reasons breakdown for a geographic area. Returns the distribution of denial reasons for mortgage applications that were denied. Useful for identifying barriers to homeownership in specific communities. Args: state: Two-letter US state abbreviation (e.g. 'CA', 'TX'). county_fips: Five-digit county FIPS code (e.g. '06037' for LA County). year: Data year (e.g. 2022). Defaults to 2022 if not specified.

Parametersyearstatecounty_fips

get_lending_by_race

Get mortgage lending patterns disaggregated by race and ethnicity. Returns mortgage origination and denial data broken down by the race/ethnicity of the applicant. Useful for fair lending analysis and identifying disparities in mortgage access. Args: state: Two-letter US state abbreviation (e.g. 'CA', 'TX'). county_fips: Five-digit county FIPS code (e.g. '06037' for LA County). year: Data year (e.g. 2022). Defaults to 2022 if not specified.

Parametersyearstatecounty_fips

Version history

1
  1. v1.1.0LatestSep 16, 2026

Score

83% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.

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