# LenDb.ai

> Find US mortgage loan officers for a borrower's situation and place. Free, lender-neutral, sourced.

- name: ai.lendb/lendb
- version: 1.1.0
- connection class: R0 (autonomous)
- trust: 83/100 flags: no-repository
- quality: 90/100 (new)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/ai.lendb%2Flendb
- tools: https://api.protogrid.dev/v1/servers/ai.lendb%2Flendb/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "lendb": {
      "type": "http",
      "url": "https://lendb.ai/mcp"
    }
  }
}
```


## Trust

- hygiene: 80
- liveness: 100
- freshness: 100
- provenance: 55
- drivers: +dns-namespace +website +reachable +uptime-100% +updated-2d-ago -no-repository
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 90/100 (new)

### protocol: 88 (weight 25)

- pass `protocol.modern`: supports 2026-07-28 (server/discover)
- pass `protocol.stateless`: answers without a session
- pass `protocol.transport`: streamable HTTP
- warn `protocol.list_ttl`: tools/list declares ttlMs 0, so clients re-fetch it on every use

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 93 (weight 30)

- pass `tools.descriptions`: every tool has a description
- warn `tools.description_length`: 1 tools have descriptions over 1,024 characters, which crowds the context
- pass `tools.schemas`: every tool has an object input schema
- pass `tools.annotations`: 5 of 5 tools declare readOnlyHint or destructiveHint
- pass `tools.directory_hints`: every tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
- pass `tools.token_cost`: about 1,792 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: n/a (weight 15)

- n/a `stability.changes`, `stability.rug_pull`: tool history recorded for 1 of the 7 days needed

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 5, about 1,792 tokens to load them all
- tool set hash: 25ba9aecc083d525f2cb74af6a2aae6e
- badge: [![protogrid quality](https://protogrid.dev/badge/ai.lendb/lendb.svg)](https://protogrid.dev/servers/ai.lendb/lendb)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

_No tool definition changes recorded._

## Remotes

- https://lendb.ai/mcp (streamable-http, auth none, reachable true, uptime30d 1)

## Packages

_none_

## Tools (5)

- `explain_specialty`: Use this when someone asks what a mortgage loan type or borrower situation means, such as a DSCR loan, a bank statement loan, an ITIN loan, a non-warrantable condo or an FHA loan. Returns, for one specialty slug, what it is, why it can be hard to get done, the questions a borrower should ask a loan officer about it, its synonyms and a canonical_url.
- `find_loan_officers`: Use this when someone wants a US mortgage loan officer (or mortgage broker or lender contact) for a specific situation and place: for example an FHA, VA, USDA, jumbo, DSCR or ITIN loan, a first-time buyer, a self-employed borrower who needs a bank statement loan, a non-warrantable condo or a duplex, or a Spanish-speaking loan officer near a city, ZIP, region or state. Searches LenDb, an independent, lender-neutral database of US loan officers (coverage is partial), and returns a ranked list. Each result has the person's name, NMLS ID, lender, office location, distance_mi, reasons[], license_check for the property state (confirmed, lender_reported or federal_registration), match_status (exact, or partial with unconfirmed_specialties) and a canonical_url profile link. A city or ZIP keeps offices within 25 miles, widened to 50 or 100 when few are found (search.note); a state alone ranks statewide. Words like 'broker' or 'credit union' rank that kind of lender first. People with no license evidence for the state are listed separately in not_yet_verified. Also returns ambiguous_location when a city name fits several places, unassessed_requirements for parts of the situation LenDb cannot check, and citation_guidance. Phone numbers and email addresses are never returned.
- `get_lender`: Use this when you need facts about a US mortgage lender, bank, credit union or mortgage broker company, by its company NMLS ID or by name (a partial name works). Returns the lender's type (bank, credit_union, imb, broker, other), headquarters state, website, the loan programs it offers (such as FHA, VA, jumbo or DSCR), program_approvals from agency data (FHA approval per HUD, with the month of loans it covers; absent means no HUD match on file, not that the lender lacks approval), activity (home loans it funded per HMDA, FFIEC/CFPB: counts by year, loan type and purpose, with as_of_year and source_url; cite it as 'HMDA, FFIEC/CFPB, <year>'; includes_brokered true means the counts include loans brokers originated; absent means no HMDA match on file, never that the lender makes no loans), how many of its loan officers LenDb lists, disciplinary_check, the date the record was last verified and a canonical_url.
- `get_loan_officer`: Use this when you have a mortgage loan officer's individual NMLS ID and need their full profile. Returns LenDb's sourced record: name, title, current lender and branch, employment history, state licenses with license confidence, specialties (such as FHA, VA, bank statement or DSCR) with the evidence for each, languages spoken, stated experience, the earliest state license record, public links (such as their page on the lender's site), disciplinary_check ('not_checked' means LenDb has not yet checked regulator records), the date the record was last verified and a canonical_url. US only. Phone numbers and email addresses are not returned; the LenDb profile page shows them after a human check.
- `list_specialties`: Use this when you need the mortgage situations LenDb can match on. Returns every specialty with its slug, category (property type, loan program or borrower situation), label, one-line description and canonical_url: for example FHA, VA, USDA, jumbo, DSCR, bank statement, ITIN, self-employed, first-time buyer, non-warrantable condo, multi-family 2-4 units and reverse mortgage. Also returns the supported languages as ISO 639-1 codes with names.