MCP server

C4C: Mortgage Industry Regulations

com.claudeforcompliance/mortgage-regs

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Verbatim U.S. mortgage regulatory text with citations and effective dates. Read-only, no sign-in.

Website Source

At a glance

Type

MCP server

Publisher

claudeforcompliance.com (verified by the MCP Registry)

Status

Working at last check

Tools

10

Token cost

About 3,977 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http mortgage-regs https://mcp.claudeforcompliance.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.mortgage-regs]
url = "https://mcp.claudeforcompliance.com/mcp"

Gemini CLI

{"mcpServers":{"mortgage-regs":{"httpUrl":"https://mcp.claudeforcompliance.com/mcp"}}}

Cursor

{"mcpServers":{"mortgage-regs":{"url":"https://mcp.claudeforcompliance.com/mcp"}}}

VS Code

{"servers":{"mortgage-regs":{"type":"http","url":"https://mcp.claudeforcompliance.com/mcp"}}}

Antigravity

agy mcp add mortgage-regs https://mcp.claudeforcompliance.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"mortgage-regs","server_url":"https://mcp.claudeforcompliance.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"mortgage-regs","server_url":"https://mcp.claudeforcompliance.com/mcp"}

Tools

• find_in_section ~510 tokens
  Returns only the verbatim paragraphs of one obligation (section) that contain the given terms. Inputs: `obligation_id`; `terms`, 1-6 short words or phrases ("cash-out", "credit score", "LTV"; abbreviations are expanded; numbers match as words or digits, so "five years" finds "five (5) years"); optio
• get_obligation ~565 tokens
  Returns one obligation's (section's) verbatim regulator text with provenance. Inputs: `obligation_id`; optional `offset`, `limit`, `compare_versions`. `verbatim` holds the text between <<<BEGIN VERBATIM>>> and <<<END VERBATIM>>>. `canonical_citation` is the section's citation in the regulator's styl
• get_playbook_kit ~276 tokens
  Returns a playbook's rule kit. FNMA AI lender letter: the verbatim LL-2026-04, InfoSec Supplement and ECOA/Reg B/FCRA/AVM rows with citations, paginated; `next_offset` is the next page's offset, or null when the kit is complete. FHA/VA/USDA QC: the corpus registers each check area is grounded in. Th
• get_playbook_reference ~234 tokens
  Returns one stage reference document of a playbook (e.g. the FNMA playbook's DISCOVERY, RECONCILE, SYNTHESIS, PP-UPDATE, CHANGELOG or UPDATING stage). Inputs: `id`, `name` (one of the playbook's `references`). Playbook tools accept only ids and reference names, no document text; the user's P&Ps and
• get_reg ~209 tokens
  Returns a manifest of one register (source document): its provenance, `currency` (null or a version/status signal: dual-version, pending revision, superseded, expired...) and its obligations (sections), each with `obligation_id`, section, `canonical_citation`, `chars_total` and `will_truncate` (true
• list_playbooks ~177 tokens
  Lists the guided compliance playbooks this server provides: the Fannie Mae AI lender letter (LL-2026-04) P&P review (AI inventory, AI governance policy, risk assessment, P&P updates, change log) and FHA, VA and USDA loan-file QC against the verbatim handbooks. Returns each playbook's id, what it doe
• lookup_citation ~349 tokens
  Resolves a regulatory citation (e.g. '4000.1 II.A.8.d', 'B3-4.3-04', 'Freddie Mac Guide 5306.1', '38 U.S.C. 3737', 'M26-7 Chapter 4 Topic 9', 'SBA Notice 5000-872764', 'SOP 50 10 8 B.Ch1.A.2', 'HB-1-3555 11.3') to a `register_id`. Errors: `not_found` (the cite parses but is not in the corpus; `parse
• search_regs ~854 tokens
  Full-text search of US mortgage regulator text (Fannie Mae, Freddie Mac, FHA, VA, USDA, Ginnie Mae, SBA, CFPB). Inputs: `query`; optional `family` (one agency), `limit` (1-25), `currency_kind` (only sections carrying that currency signal; "any" = any signal). Common abbreviations (DTI, LTV, IRRRL, W
• start_playbook ~214 tokens
  Returns one playbook's full workflow instructions, its stages, the stage reference names and the rule-kit version: the Fannie Mae AI lender letter (LL-2026-04) P&P review, or FHA, VA or USDA loan-file QC. Input: the playbook `id`; an unknown id returns `unknown_playbook` with `valid_ids`. Playbook t
• verify_quote ~589 tokens
  Checks whether a passage appears in a regulator's source document; accepts text from any source. Inputs: `text` (up to 5,000 words); optional `register_id` (without it, up to 3 candidate documents are located by search). `outcome` is one of: exact (contiguous in the source, quote marks and dashes as

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