← brickandmortar.dev

INDIVIDUAL MCP TOOL

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.

brickandmortar.devnone authenticationAvailability not checked

LIVE ENDPOINT

https://brickandmortar.dev/mcp

No auth detected

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

Indexed input schema

{}

Risk classification

Potential side effects detected · medium confidence · heuristic, not a guarantee.

  • A tool name or description contains a write-action term.

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.
  • 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.
  • 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.
  • 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.