MCP server
Hmda
io.github.pipeworx-io/hmda
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
HMDA — every US mortgage application at loan level (CFPB / FFIEC).
Working at last checkOfficial: pipeworx.io's GitHub account (pipeworx-io)About 27,546 tokens per request once connected46 tools
https://gateway.pipeworx.io/hmda/mcp
At a glance
- Type
- MCP server
- Publisher
- pipeworx.io (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 46
- Token cost
- About 27,546 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
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 hmda https://gateway.pipeworx.io/hmda/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.hmda] url = "https://gateway.pipeworx.io/hmda/mcp"
Gemini CLI
{"mcpServers":{"hmda":{"httpUrl":"https://gateway.pipeworx.io/hmda/mcp"}}}
Cursor
{"mcpServers":{"hmda":{"url":"https://gateway.pipeworx.io/hmda/mcp"}}}
VS Code
{"servers":{"hmda":{"type":"http","url":"https://gateway.pipeworx.io/hmda/mcp"}}}
Antigravity
agy mcp add hmda https://gateway.pipeworx.io/hmda/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":"hmda","server_url":"https://gateway.pipeworx.io/hmda/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"hmda","server_url":"https://gateway.pipeworx.io/hmda/mcp"}
Tools
hmda_geography_activity~344 tokens
Mortgage lending in a place — how many applications were originated, denied or withdrawn in a county or state in a given year, with dollar volume, from the federal HMDA register. Break the answer down by applicant race, ethnicity, sex, loan purpose or loan type to see how outcomes differ across grouhmda_lender_activity~304 tokens
What a specific mortgage lender did in a year — applications, originations, denials and dollar volume — from the federal Home Mortgage Disclosure Act register, optionally narrowed to a state or county. Identify the lender by its LEI (the 20-character Legal Entity Identifier HMDA files under); resolvhmda_lenders_in_county~276 tokens
Which lenders were most active in a county, ranked by loan count, from HMDA loan-level records for that county and year. Returns each lender LEI with its originations, denials and dollar volume, so "who lends here" and "who denies most here" are answerable. Bounded: it reads the county's records dirhmda_loan_records~319 tokens
Individual mortgage application records from the HMDA register — the loan-level rows behind the totals, with loan amount, action taken, rate spread, applicant income, lender LEI and census tract. Use when an aggregate is not enough and the individual applications matter. Filtered by geography and ou
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