INDIVIDUAL MCP TOOL

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.

brickandmortar.devnone authenticationAvailability not checked

LIVE ENDPOINT

https://brickandmortar.dev/mcp

No auth detected

Connect to this endpoint to inspect the live schema for business_teardown and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

brickandmortar.dev

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

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

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: small-business-intelligence
Remote MCP URL: https://brickandmortar.dev/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

{
  "name": "small-business-intelligence",
  "transport": "streamable-http",
  "url": "https://brickandmortar.dev/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related 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), what the answer will be worth, and what the public record cannot answer at all.
twin_cities_datasets — Lists the public-records datasets Brick & Mortar publishes for the seven-county Minneapolis-St.
twin_cities_records — Answers a question about the Minneapolis-St.
competitor_landscape — Maps the local competitive set for a category + metro: true competitors vs.
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.
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.
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.
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 date-stamp (never a hardcoded table), a public-signal red-flag checklist run before any financials are shared, and a prioritized seller-question list built from the specific gaps the research actually surfaces.