Cal MCP Server
The Cal MCP Server connects MCP-compatible AI clients (Claude Desktop, Cursor, etc.) to a comprehensive mortgage data platform with 166+ wholesale lenders, 1,400+ indexed program documents, and 250+ DPA programs across all 50 states.
cal_fact_lookup– Retrieve authoritative mortgage facts (FHFA conforming loan limits, FHA limits, VA funding fees, FHA MIP rates, agency DTI caps) at the county level, with source citations.cal_search_lenders– Find and rank wholesale lenders suited to a specific loan scenario (FICO, LTV, loan amount, state, occupancy, product type), with qualifying reasons and blockers.cal_lender_details– Get a full lender record: programs offered, state licenses, AE contacts, broker portal URL, status, and recent matrix dates.cal_lender_documents– List indexed matrices, handbooks, and overlay documents for a lender, sorted by authority and currency, each with an extracted summary.cal_dpa_search– Search down-payment assistance programs by state, county, city, first-time homebuyer status, and program type (grant, forgivable, deferred, second loan, MCC).cal_lender_intel– Access qualitative "tribal knowledge" on a lender: strengths, watch-outs, speed notes, preferred/avoided scenarios, AE contacts, and recent overlay shifts not yet in PDFs.cal_scenario_pattern– Get structuring playbooks for complex scenarios (departing residence, ITIN/foreign national, sub-580 FHA, renovation, super-jumbo >$1M).cal_valuation– Run a comparable-sales valuation to receive an indicated market value, floor/ceiling range, over/under-priced verdict, confidence level, and list-price rebuttal.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Cal MCP Server Top 5 lenders for a 700 FICO, 80% LTV in Texas"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Cal MCP Server
The mortgage MCP server, with a real lender data moat. 166+ wholesale lenders · 1,400+ indexed program documents · 250+ down‑payment‑assistance programs · 50 states. First Model Context Protocol server in the mortgage industry with broker‑accessible matrix data behind it — not a calculator, not a rate scraper.
@askcal/mcp-server exposes Cal — the AI mortgage platform at askcal.io — to any Model Context Protocol client: Claude Desktop, Cursor, Continue, Goose, Zed, Cody, your own agent. Loan officers, brokers, real‑estate agents, and consumer borrowers can ask their AI assistant questions like:
"What's the 2026 conforming loan limit in Alameda County, CA, for a 1‑unit?"
"Top 5 wholesale jumbo lenders in California for a 712‑FICO, 80% LTV, $1.4M loan with a departing residence still listed."
"What DPA programs in Orange County California work for a first‑time buyer with 700 FICO?"
"Plaza Home Mortgage — what's their current master credit guideline document, and which AE covers Northern California?"
"Show me the structuring playbook for a sub‑580 FHA file."
…and Cal returns answers grounded in current matrix PDFs, FHFA / HUD / VA source documents, and tribal‑knowledge intel curated by working brokers.
Why this matters
The mortgage industry has spent a decade in the "everybody buys Encompass" era. AI hasn't touched the workflow because the source data is gated, fragmented, and expires. Cal's library — built from broker‑portal scrapes, indexed weekly, kept current — is the data layer that makes any mortgage AI actually useful. This MCP server is how that data reaches every agent platform built on top of MCP.
If you're an LO, this means asking Claude (or Cursor, or your own agent) the same questions you used to dig through PDFs to answer — and getting an answer in seconds with a source citation.
Related MCP server: Repliers MCP Server
Tools
The server exposes eight tools:
Name | Purpose |
| FHFA conforming loan limits, FHA loan limits, VA funding fee, FHA MIP, agency DTI caps. County‑level. 50 states + DC. |
| Scenario‑aware wholesale‑lender finder. Pass FICO / LTV / loan amount / state / occupancy → ranked top 5 (or top 15 with |
| Full record for one lender — programs, state licenses, AE contact, broker portal URL, status, recent matrix dates. |
| List indexed matrices / handbooks / overlays for a lender. Sorted master → current → superseded. Each doc includes a short extracted summary. |
| Down‑payment‑assistance programs by state / county / city / FTHB / type. Up to 25 ranked programs with provider URLs. |
| Tribal‑knowledge intel — strengths, watch‑outs, speed notes, scenarios they love, scenarios to avoid, AE contacts. Pass |
| Structuring playbooks for hard scenarios: departing residence, ITIN / foreign national, sub‑580 FHA, renovation, super‑jumbo, plus the matrix‑freshness citation rule. |
| ValueGuard comparable-sales valuation. Pass the subject (price + sqft) and 4+ comps, get the indicated market value, a floor/ceiling range, an over/under-priced verdict, a confidence level, and the comps used. A list-price rebuttal in seconds. |
The tool surface mirrors Cal's internal tool‑use schema, so any model (Claude Sonnet, Opus, Haiku, GPT‑4o, Gemini, …) that calls them gets the same shape Cal itself uses.
Install
Claude Desktop (macOS / Windows)
Add this to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"cal": {
"command": "npx",
"args": ["-y", "@askcal/mcp-server"],
"env": {
"CAL_API_TOKEN": "your-token-here"
}
}
}
}Restart Claude Desktop. The cal tools appear in the slash menu.
Cursor
Settings → MCP → Add Server, then paste the same JSON.
Continue / VS Code
~/.continue/config.json → mcpServers block, same shape.
Local dev (clone + link)
git clone https://github.com/askcal/cal-mcp-server.git
cd cal-mcp-server
npm install
npm run build
# Then point your MCP client at dist/index.js with `node` as the command
# and an absolute path in args[0].Getting a token
CAL_API_TOKEN is an opaque bearer token. Use a long‑lived API key, not a session token — session tokens from /auth/login expire after 8 hours, which means an MCP client config that worked today returns 401 tomorrow.
Recommended — long‑lived API key (cal_live_…)
Sign up at api.askcal.io (request access if you don't have a key yet — broker LOs are auto‑approved). Then:
# 1. Get a short‑lived session token from /auth/login
SESSION=$(curl -s -X POST https://api.askcal.io/auth/login \
-H "Content-Type: application/json" \
-H "Origin: https://askcal.io" \
-d '{"email":"<your-email>","password":"<your-password>","portal":"team"}' \
| sed -n 's/.*"token":"\([^"]*\)".*/\1/p')
# 2. Mint a long‑lived API key
curl -X POST https://api.askcal.io/auth/api-keys \
-H "Content-Type: application/json" \
-H "Origin: https://askcal.io" \
-H "Authorization: Bearer $SESSION" \
-d '{"label":"my-claude-desktop"}'The response includes a key field starting with cal_live_. Copy it now — it's only shown once. Use it as CAL_API_TOKEN. The key has no expiry; revoke it any time with DELETE /auth/api-keys/<id> (list yours with GET /auth/api-keys).
Fallback — session token
If you just want to try a tool call quickly, the session token from /auth/login works too (8‑hour TTL). Don't put one in a long‑lived MCP config.
v0.2 preview
OAuth 2.1 with PKCE is on the roadmap so MCP clients can run the consent flow themselves. Until then, the API key flow above is the recommended path.
Verify it works
After installing, ask your MCP client:
"What's the 2026 conforming loan limit in Alameda County CA?"
You should get back something like:
$1,229,100 (FHFA 2026 Conforming Loan Limits, announced 2025‑11‑26).
High‑balance HCOL county. Anything above this is a jumbo loan.If you don't, check:
The token isn't expired — Cal session tokens last 24 hours by default. Refresh via
/auth/login.Network can reach
https://api.askcal.io.Your MCP client picked up the config — restart it after editing.
Configuration
Env var | Required | Default | Notes |
| yes | — | Bearer token from |
| no |
| Override only if you're testing against a Cal instance other than production. |
Data scope
Calls are scoped to the list tied to your token. If you're a broker LO with a curated approved‑lender list, results are filtered to lenders you can actually use. Cal will not leak across approved lists. The founder's demo list is the broadest, at 166 lenders.
License
MIT. The wrapper code is open. Cal's curated lender library, DPA program data, and lender intel are proprietary and remain behind the API.
About Cal
Cal is the AI mortgage platform at askcal.io, built by a 17‑year industry veteran (NMLS 275073) for working brokers. Production state at this release:
166 wholesale lenders, 1,424 indexed program documents, 250 DPA programs, 50 states
4 LOs in pilot, 342 questions answered in the first 24 hours of soft‑launch
Roadmap
v0.1 - 7 tools, API-key auth, stdio transport, npm + GitHub.
v0.2 (current) - ValueGuard valuation (
cal_valuation), 8 tools total; repointed to the askcal.io API.v0.3 - OAuth 2.1 with PKCE.
.dxtClaude Desktop bundle. Optimal Blue MCP companion server.v0.4 - Streamable HTTP transport. Public agency MCPs (Fannie Selling Guide, Freddie Guide, FHA Handbook 4000.1, VA Handbook 26-7, FHFA limits, HUD AMI).
v0.5 - Encompass MCP companion (LOS read/write). DocuSign MCP companion. One prompt fires across CRM + email + calendar + pricing + library.
Contributing
Issues and PRs welcome. The roadmap above is the priority order; if you want to take a piece, open an issue first so we don't dual‑track.
Contact
Chris Black · NMLS 275073 · chris@askcal.io
Available Tools
8 toolscal_dpa_searchA
Find Down Payment Assistance (DPA) programs for a borrower's state, county, FTHB status, and program type. Returns up to 25 ranked programs with provider URLs, eligibility, amount, and program type (grant / forgivable / deferred / second / MCC). Use this for any "DPA in ", "first-time buyer help in ", grant, forgivable second, MCC, or any city/county/state housing-finance-agency program question.
Inputs: city, fthb, type, state, +1 more.
cal_fact_lookupA
Look up authoritative 2026 mortgage facts: FHFA conforming loan limits, FHA loan limits, VA funding fee schedule, FHA MIP rates, and agency DTI caps. Use this whenever you need a specific dollar amount, percentage, or threshold — never quote these from training-data memory because the values reset annually and FHFA/FHA limits are different programs. Returns the requested value with a source citation (FHFA, HUD, VA, Fannie/Freddie). Coverage: all 50 US states + DC, all county-level limits, 1-4 unit properties.
Inputs: category (required), state, units, county, +2 more.
cal_lender_detailsA
Fetch the full record for a specific wholesale lender — programs offered, state licenses, account-executive contact, broker portal URL, status, and recent matrix dates. Use this after cal_search_lenders to get contact details + portal info before recommending the lender to an LO.
Inputs: lenderSlug (required).
cal_lender_documentsA
List indexed matrix / handbook / overlay documents for a lender. Returns each doc's filename, effective date, product category, authority (master vs. supplement), superseded flag, and a short extracted summary. Sorted: master → current → superseded last. Use this to verify program details or cite a specific matrix version when answering an LO question.
Inputs: lenderSlug (required).
cal_lender_intelA
Tribal-knowledge intelligence on a specific wholesale lender — strengths, watch-outs, speed notes, scenarios they love, scenarios to avoid, AE contacts, recent overlay shifts not yet in PDFs. Use this AFTER cal_lender_details when the user asks "is this lender any good for X?", "fastest path", "what gets denied", or any qualitative question about working with the lender. Pass an intent to narrow the response and save tokens — e.g. intent="scenariosTheyLove" returns just that field.
Inputs: lenderSlug (required), intent.
cal_scenario_patternA
Fetch a structuring playbook for a recognized hard mortgage scenario — departing residence with property still listed, ITIN / foreign national, sub-580 FHA, renovation (203k / reno-perm), super-jumbo > $1M — or the matrix-freshness citation rule. Each pattern returns the recommended lender shortlist + the specific guideline to apply. Call this FIRST when the LO's question matches one of these patterns — it gives you the playbook before any lender search.
Inputs: pattern (required).
cal_search_lendersA
Search Cal's scoped wholesale-lender library for programs that fit a loan scenario. Returns lenders ranked best-first with score, qualifying reasons, and any blockers (state license gaps, FICO/LTV overlays). Use this for any "who does X?" or "which lender for Y?" question — pass as much scenario detail as you have (FICO, LTV, loan amount, occupancy) and Cal will rank against the live library. Defaults to top 5; pass expand=true for top 15.
Inputs: category (required), ltv, fico, state, +5 more.
cal_valuationA
ValueGuard: run a comparable-sales valuation on a subject property and return a list-price rebuttal. Given the subject (address, list price, square footage) and at least 4 comparable listings, returns the indicated market value with a floor/ceiling range, a verdict (overpriced / at market / underpriced), a confidence level, the percent the list price sits above or below market, and the comps used. Use this for "is this list price fair", "what is this home worth", appraisal-gap or list-price-rebuttal questions. The caller must supply the comparable listings; this tool does not fetch comps.
Inputs: subject (required), listings (required), opts.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 8 tools
The lender-related tools are carefully separated into details, documents, and intel, so the core set is easy to navigate. Some overlap exists between cal_search_lenders and cal_scenario_pattern since both can produce a lender shortlist, though their descriptions provide clear sequencing guidance.
All tools share the cal_ prefix and use lowercase snake_case, which gives the set a unified feel. However, naming style is not fully uniform: some are verb-led like cal_search_lenders and cal_fact_lookup, while others are noun-led like cal_lender_details and cal_scenario_pattern.
Eight tools is a well-scoped size for a mortgage decision-support server covering lender search, DPA, facts, scenarios, and valuation. Each tool serves a distinct workflow and none feels redundant or extraneous.
The set covers the lender workflow thoroughly: search, details, documents, and qualitative intel, plus DPA, facts, scenario playbooks, and valuation. The main gap is that cal_valuation requires the caller to supply comparable listings, and there is no companion tool to fetch comps, which can leave agents without a complete valuation path.
Maintenance
Related MCP Connectors
Broker-only credit/lending discovery shim for AI agents
Homesage.ai MCP gives AI assistants real estate data on 160M+ US properties, with 30+ tools for property search, estimated values, estimated renovation costs, and Seller Motivation Scores.
Loan & mortgage calculator, compound interest, ROI, crypto prices, FX conversion for AI agents.
Connect AI agents to financial institution origination, analytics, and compliance workflows.
Related MCP Servers
- AlicenseDqualityDmaintenanceProvides access to RateSpot.io mortgage rate APIs, enabling AI assistants to fetch real-time mortgage rates, compare loan products, calculate payments, and access comprehensive lending information.7MIT

Repliers MCP Serverofficial
AlicenseNot gradedqualityBmaintenanceProvides AI assistants access to real-time MLS data via the Repliers API, enabling natural language property search, market statistics, and listing details.525 npm21MIT- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to retrieve verbatim U.S. mortgage regulations with citations and effective dates, verify quotes, and run guided compliance playbooks without sending user documents to the server.MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to query and analyze self-hosted real-estate public-records data through 20 read-only MCP tools, including property search, foreclosure and distress signals, comps, market context, and optional license-gated deal scoring.MIT