frc-mcp
Was dieses MCP kann
Provides statistical analysis of 2025 FHA denial rates by lender, state, metro, loan size, denial reason, and lender cohort using HMDA data.
Tools
Eingabeschema
{'type': 'object', 'required': ['passport_id'], 'properties': {'passport_id': {'type': 'string'}, 'causal_assertion': {'type': 'boolean'}, 'legal_conclusion': {'type': 'boolean'}, 'qualifier_dropped': {'type': 'boolean'}, 'attribution_present': {'type': 'boolean'}, 'individual_prediction': {'type': 'boolean'}, 'scope_beyond_universe': {'type': 'boolean'}, 'personalized_recommendation': {'type': 'boolean'}}}
Eingabeschema
{'type': 'object', 'properties': {'lender': {'type': 'string', 'description': 'Lender name or 20-char LEI. Omit to list every lender with a published conditional surface.'}}}
Eingabeschema
{'type': 'object', 'properties': {'lender': {'type': 'string', 'description': 'Lender name or slug, optional'}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'required': ['lender'], 'properties': {'lender': {'type': 'string', 'description': 'Lender name, slug, or 20-char LEI'}}}
Eingabeschema
{'type': 'object', 'required': ['metro'], 'properties': {'metro': {'type': 'string', 'description': "Metro name or slug, e.g. 'Cleveland, OH' or 'cleveland-oh'"}}}
Eingabeschema
{'type': 'object', 'properties': {}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {'state': {'type': 'string', 'description': 'Two-letter USPS code, optional'}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'required': ['state'], 'properties': {'state': {'type': 'string', 'maxLength': 2, 'minLength': 2}}}
Eingabeschema
{'type': 'object', 'properties': {}}
Eingabeschema
{'type': 'object', 'properties': {'sort': {'enum': ['highest_denial', 'lowest_denial', 'largest_volume'], 'type': 'string'}, 'limit': {'type': 'integer', 'maximum': 100, 'minimum': 1}}}
Eingabeschema
{'type': 'object', 'required': ['cohort_id'], 'properties': {'cohort_id': {'type': 'string', 'description': 'One of the ids returned by list_cohorts, e.g. top-volume-fha, high-coverage-only, above-expectation, depository-institutions, screening-only.'}, 'license_key': {'type': 'string', 'description': 'Optional. Only pass it if the user explicitly provided one.'}, 'requested_format': {'enum': ['summary', 'evidence_brief'], 'type': 'string'}}}
Eingabeschema
{'type': 'object', 'required': ['lei_list'], 'properties': {'lei_list': {'type': 'array', 'items': {'type': 'string'}, 'description': '1-40 public Legal Entity Identifiers (20-character ISO 17442). Hard cap 100; duplicates removed deterministically.'}, 'license_key': {'type': 'string', 'description': "Optional. A Lemon Squeezy license key issued for 'Counterparty Screen' (one-time or quarterly). Only pass it if the user explicitly provided it."}, 'requested_format': {'enum': ['summary', 'evidence_brief'], 'type': 'string', 'description': "Optional. 'evidence_brief' requests the full audit artefact (licensed mode)."}}}
Eingabeschema
{'type': 'object', 'required': ['lei_list'], 'properties': {'lei_list': {'type': 'array', 'items': {'type': 'string'}, 'description': '1-40 public LEIs to be quoted.'}, 'license_key': {'type': 'string', 'description': "Optional. Include it to see the account's remaining balance in the quote."}}}
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