Small Business Intelligence by Brick & Mortar is a remote MCP server that gives an AI agent 12 tools, among them broker_diligence_prep, business_teardown, competitor_landscape. It answers at https://brickandmortar.dev/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 10 September 2026; the last check, on 19 October 2026, succeeded.
Free joined public records for small business and CRE: Twin Cities parcels, sales, licences
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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 r Inputs: business_name, city_metro, category, asking_price |
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-bu Inputs: business_name, city_metro, category |
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 sat Inputs: category, city_metro, radius_note |
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 m Inputs: business_name, audience, completed_analyses |
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, sta Inputs: question, place, already_tried |
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 audi Inputs: business_name, city_metro, category |
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 f Inputs: category, city_metro |
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 na Inputs: category, city_metro, services |
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 c Inputs: request, kind, context, subject, reply_email |
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 Inputs: business_name, city_metro, category |
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 t Inputs: about |
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 Inputs: dataset, scope, address, within_ft, columns |
Every block below points at https://brickandmortar.dev/mcp. Pick your client and copy.
claude mcp add --transport http small-business-intelligence-by-b https://brickandmortar.dev/mcp
{
"mcpServers": {
"small-business-intelligence-by-b": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://brickandmortar.dev/mcp"]
}
}
}{
"mcpServers": {
"small-business-intelligence-by-b": {
"url": "https://brickandmortar.dev/mcp"
}
}
}{
"servers": {
"small-business-intelligence-by-b": {
"type": "http",
"url": "https://brickandmortar.dev/mcp"
}
}
}{
"context_servers": {
"small-business-intelligence-by-b": {
"url": "https://brickandmortar.dev/mcp"
}
}
}{
"mcpServers": {
"small-business-intelligence-by-b": {
"serverUrl": "https://brickandmortar.dev/mcp"
}
}
}{
"mcpServers": {
"small-business-intelligence-by-b": {
"url": "https://brickandmortar.dev/mcp"
}
}
}name: Small Business Intelligence by Brick & Mortar
version: 0.0.1
schema: v1
mcpServers:
- name: Small Business Intelligence by Brick & Mortar
type: streamable-http
url: https://brickandmortar.dev/mcp{
"mcpServers": {
"small-business-intelligence-by-b": {
"httpUrl": "https://brickandmortar.dev/mcp"
}
}
}{
"mcpServers": {
"small-business-intelligence-by-b": {
"type": "http",
"url": "https://brickandmortar.dev/mcp"
}
}
}{
"mcpServers": {
"small-business-intelligence-by-b": {
"url": "https://brickandmortar.dev/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fbrickandmortar.dev%2Fmcp&type=streamable_http&id=small-business-intelligence-by-b&name=Small%20Business%20Intelligence%20by%20Brick%20%26%20Mortar
It answered our last check on 19 October 2026 in 390 ms. Over 6 checks since 10 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
12, as returned by the server's own tools/list on 12 September 2026: broker_diligence_prep, business_teardown, competitor_landscape, compose_report, data_source_atlas, local_visibility_audit, market_opportunity_scan, pricing_benchmark, and 4 more.
It answered our last check on 19 October 2026 in 390 ms. Over 6 checks since 10 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://brickandmortar.dev/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.2016judea. Endpoint host: brickandmortar.dev. ARD identifier: urn:air:io.github.2016judea:mcp:small-business-intelligence.
First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.