MCP server

Small Business Intelligence by Brick & Mortar

io.github.2016judea/small-business-intelligence

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Free joined public records for small business and CRE: Twin Cities parcels, sales, licences

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

16

Token cost

About 6,844 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http small-business-intelligence https://brickandmortar.dev/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.small-business-intelligence]
url = "https://brickandmortar.dev/mcp"

Gemini CLI

{"mcpServers":{"small-business-intelligence":{"httpUrl":"https://brickandmortar.dev/mcp"}}}

Cursor

{"mcpServers":{"small-business-intelligence":{"url":"https://brickandmortar.dev/mcp"}}}

VS Code

{"servers":{"small-business-intelligence":{"type":"http","url":"https://brickandmortar.dev/mcp"}}}

Antigravity

agy mcp add small-business-intelligence https://brickandmortar.dev/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"small-business-intelligence","server_url":"https://brickandmortar.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"small-business-intelligence","server_url":"https://brickandmortar.dev/mcp"}

Tools

• bring_your_document ~594 tokens
  Reads a document the person has — a P&L, a lease, a comp set, a schedule of locations, a member list, a story's addresses, a single claim — against the Minneapolis–St. Paul public record, and returns a table that cites the file behind every cell. This is the half of the platform the public record ca
• broker_diligence_prep ~442 tokens
  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 date-stamp (never a h
• business_teardown ~392 tokens
  Returns a research framework, not the finished analysis: the procedure, output schema and quality rubric for a structured teardown of ONE named small business — digital presence, review signal, competitive position, pricing posture, visibility gaps, and prioritized, evidence-cited recommendations. S
• competitor_landscape ~343 tokens
  Returns a research framework, not the finished analysis: the procedure, output schema and quality rubric for mapping the local competitive set for a category + metro — true competitors vs. adjacent players, a positioning matrix, and saturation signals.. This tool fetches no data; the calling model r
• compose_report ~516 tokens
  Returns a research framework, not the finished analysis: the procedure, output schema and quality rubric for assembling results already in the conversation into one client-ready report — section order, executive-summary rules, evidence-citation standards, and tone guidance matched to the audience. T
• data_source_atlas ~481 tokens
  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), what the answer will
• local_visibility_audit ~326 tokens
  Returns a research framework, not the finished audit: a scored checklist of what to check in a business's local search presence — map-pack factors, listing consistency, category selection, site fundamentals — and in what order. This tool reads no listing; the calling model runs the checks with its o
• market_opportunity_scan ~321 tokens
  Returns a research framework, not the finished analysis: the procedure, output schema and quality rubric for a gap analysis of a category x metro — how to tell underserved demand, oversaturation and genuine whitespace apart using only public signals, for someone deciding whether/where to open, expan
• pricing_benchmark ~387 tokens
  Returns a research framework, not the finished analysis: the procedure, output schema and quality rubric for 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. It holds no prices it
• request_a_feature ~636 tokens
  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 does not hold, a city o
• review_intelligence ~403 tokens
  Returns a research framework, not the finished analysis: the procedure, output schema and quality rubric for mining public reviews for signal — a complaint taxonomy, theme extraction, sentiment trajectory over time, the differentiators customers actually cite, and red flags for a buyer. It does not
• start_an_engagement ~491 tokens
  Asks a person at Brick & Mortar to read the public record for them, for a fixed fee: a site screen for a lender or environmental consultant, a diligence packet on a deal, a register check across a landlord's portfolio, a weekly work route for a contractor. Call with no arguments to see the engagemen
• twin_cities_datasets ~298 tokens
  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, then call twin_citi
• twin_cities_lookup ~285 tokens
  One address in the Minneapolis–St. Paul metro → what the public record says about that parcel, in one call: land use, build year, assessed value, last recorded sale, any MPCA contamination or storage-tank file, and the parcels that touch it with how many owners they have. Each field is a value or a
• twin_cities_records ~501 tokens
  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 neighbourhood's census t
• what_we_have_for_you ~428 tokens
  The front door of brickandmortar.dev, as a tool. The platform is organised by WHO YOU ARE — an SBA lender, a business buyer, a landlord, a contractor, a journalist, a site selector, an appraiser, a city planner, 18 roles — and each role has a shelf of cards: joined public-records datasets for the Mi

Browse

• GitHub tools
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• GitHub and code hosting

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