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Glama

Server Details

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

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

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MCP client
Glama
MCP server

Full call logging

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Tool access control

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Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

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Tool DescriptionsA

Average 4.1/5 across 4 of 4 tools scored.

Server CoherenceA
Disambiguation5/5

Each tool has a clearly distinct purpose with no overlap: get_aggregate_stats provides summary statistics, get_denial_reasons focuses on denial breakdowns, get_lending_by_race analyzes racial disparities, and get_mortgage_data returns detailed loan-level records. The descriptions clearly differentiate their specific analytical functions within the HMDA domain.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with 'get_' prefix followed by descriptive nouns (aggregate_stats, denial_reasons, lending_by_race, mortgage_data). The naming convention is perfectly uniform throughout the toolset, making them predictable and easy to understand.

Tool Count4/5

Four tools is reasonable for a mortgage data analysis server, covering key analytical perspectives (aggregate statistics, denial analysis, racial disparities, and detailed data). However, the scope feels slightly thin - additional tools for filtering by lender, property type, or income brackets could enhance completeness without being excessive.

Completeness4/5

The toolset covers the core analytical needs for HMDA data exploration with different granularities and perspectives. Minor gaps exist: there's no tool specifically for lender-level analysis, no ability to compare multiple geographies simultaneously, and no specialized tools for time-series analysis across years. However, agents can work around these limitations using the existing tools effectively.

Available Tools

4 tools
get_aggregate_statsInspect

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.
ParametersJSON Schema
NameRequiredDescriptionDefault
yearNo
stateNo
county_fipsNo

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes
get_denial_reasonsInspect

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.
ParametersJSON Schema
NameRequiredDescriptionDefault
yearNo
stateNo
county_fipsNo

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes
get_lending_by_raceInspect

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.
ParametersJSON Schema
NameRequiredDescriptionDefault
yearNo
stateNo
county_fipsNo

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes
get_mortgage_dataInspect

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).
ParametersJSON Schema
NameRequiredDescriptionDefault
yearNo
limitNo
stateNo
loan_typeNo
county_fipsNo
action_takenNo

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

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