# Small Business Intelligence by Brick & Mortar Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## Small Business Intelligence by Brick & Mortar

Public records research for small business: property sales, ownership, licenses, and competitive analysis in Twin Cities

- Record: https://musedirectory.ai/connector/small-business-intelligence-by-brick-mortar
- Category: Research & Data
- Developer: 2016judea (https://brickandmortar.dev/connect/)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 569ms, checked 2026-09-28T09:16:07Z
- Endpoint: https://brickandmortar.dev/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-09-25T01:06:03Z)
- Source: Found in the official MCP Registry (io.github.2016judea/small-business-intelligence) https://registry.modelcontextprotocol.io/v0/servers?search=io.github.2016judea%2Fsmall-business-intelligence

Connects to public records including county parcels, sales, licenses, and census data for the Minneapolis-St. Paul metro and other cities. Helps small business owners research properties, analyze competitors, audit local search visibility, benchmark pricing, and evaluate acquisition targets.

Example request: "What did the commercial property at 1420 Grand Ave in Saint Paul last sell for, and who owns it now?"

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Small Business Intelligence by Brick & Mortar to help me. It is a free service with an MCP server at https://brickandmortar.dev/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- data_source_atlas: Given a real question about a local market or a specific property, returns a source-first RESEARCH PLAN: which public record actually settles the question, how to reach it directly (county parcel GIS, Census CBP/ACS/permits, BLS series, state registries, licences, inspections), w
- twin_cities_datasets: Lists the public-records datasets Brick & Mortar publishes for the seven-county Minneapolis-St. Paul metro, with real row counts, column names, the filtered cuts available, and the counties each one actually covers. Free, no account. Call this FIRST to learn what can be answered,
- twin_cities_records: Answers a question about the Minneapolis-St. Paul metro from joined public records — what a property sold for and when, who owns it and what else they hold, what shares its lot line, whether it has a contamination or storage-tank file, who is licensed to trade there, how the neig
- business_teardown: Full structured teardown of ONE named small business: digital presence, review signal, competitive position, pricing posture, visibility gaps, and prioritized, evidence-cited recommendations. The flagship tool — start here for any single-business question. Example invocations: - 
- competitor_landscape: Maps the local competitive set for a category + metro: true competitors vs. adjacent players, a positioning matrix, and saturation signals. Example invocations: - "Map the competitive landscape for coffee shops in Saint Paul, MN" - "How saturated is the nail salon market in Auror
- review_intelligence: Mines public reviews for signal: a complaint taxonomy, theme extraction, sentiment trajectory over time, the differentiators customers actually cite, and red flags for a buyer. Example invocations: - "Mine the reviews for Al's Breakfast in Minneapolis for real patterns, not just 
- local_visibility_audit: Audits a business's local search presence: map-pack factors, listing consistency, category selection, site fundamentals — what to check, and in what order — returned as a scored checklist. Example invocations: - "Run a local visibility audit on Fern & Fig Nail Bar in Cedar Rapids
- pricing_benchmark: Builds a defensible local pricing comparison within a category: how to normalize across differing service bundles, and what to do when competitors don't publish prices at all. Example invocations: - "Benchmark gel manicure pricing across nail salons in Denver, CO" - "Is this brew
- broker_diligence_prep: Pre-diligence framework for a business broker or buyer evaluating a target: SDE framing (why the discretionary-earnings figure, not net income or raw EBITDA, is the relevant number, and what typically gets added back), a category multiple range the model must research fresh and d
- market_opportunity_scan: Gap analysis for a category x metro: detects underserved demand, oversaturation, and genuine whitespace using only public signals — for someone deciding whether/where to open, expand, or invest. Example invocations: - "Is there whitespace for a new brewery taproom in the North Lo
- compose_report: Assembles the outputs of any prior Small Business Intelligence tool calls into one polished, client-ready report: section order, executive-summary rules, evidence-citation standards, and tone guidance matched to the audience. This is what makes a multi-tool session feel like a fi
- request_a_feature: Sends a feature request, a data request or a correction straight to the person who builds this server — free, no account, and it reaches a real inbox. Use it whenever this server falls short of what the user actually wanted: a question it cannot answer, a dataset or column it doe

Screening checks:
- MCP handshake: pass (Answered in 600ms)
- Domain against threat feeds (Cloudflare security DNS): pass (brickandmortar.dev not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (12 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (No redirects off the domain)
- AI review of purpose and tool behavior: pass (No concerns)