Public records research for small business: property sales, ownership, licenses, and competitive analysis in Twin Cities
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.
Try asking Muse: "What did the commercial property at 1420 Grand Ave in Saint Paul last sell for, and who owns it now?"
Source: Found in the official MCP Registry (io.github.2016judea/small-business-intelligence) · First listed September 25, 2026
Each bar is one check, every 15 minutes. Green means it answered. Last checked 2 h ago.
What Muse can see: It does not ask you to sign in, so it cannot see your accounts. It only sees what Muse sends it from your request.
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Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. 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.
https://brickandmortar.dev/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Response time at the last check: 1018ms. Worked in 100% of checks over 30 days.
Screened, no issues found
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
data_source_atlasGiven 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), wtwin_cities_datasetsLists 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_recordsAnswers 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 neigbusiness_teardownFull 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_landscapeMaps 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 Aurorreview_intelligenceMines 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_auditAudits 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 Rapidspricing_benchmarkBuilds 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 brewbroker_diligence_prepPre-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 dmarket_opportunity_scanGap 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 Locompose_reportAssembles 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 firequest_a_featureSends 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 doehttps://brickandmortar.dev/mcpNot 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.
At the last check (September 28, 2026, 07:00 UTC) the endpoint was working, answering in 1018ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.
It was screened on September 25, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
It exposes 12 tools, including data_source_atlas, twin_cities_datasets, twin_cities_records, business_teardown. For example, you could ask Muse: "What did the commercial property at 1420 Grand Ave in Saint Paul last sell for, and who owns it now?"
This listing was added from public sources (Found in the official MCP Registry (io.github.2016judea/small-business-intelligence)). If you build Small Business Intelligence by Brick & Mortar, claim it to correct the details and get your badge.
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