Der Small Business Intelligence by Brick & Mortar MCP-Server,
verbunden mit einem Klick.

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 settle

twin_cities_datasets — Lists the public-records datasets Brick & Mortar publishes for the seven-county Minneapolis-St. Paul metro, with real row counts, column nam

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

business_teardown — Full structured teardown of ONE named small business: digital presence, review signal, competitive position, pricing posture, visibility gap

competitor_landscape — Maps the local competitive set for a category + metro: true competitors vs. adjacent players, a positioning matrix, and saturation signals.

review_intelligence — Mines public reviews for signal: a complaint taxonomy, theme extraction, sentiment trajectory over time, the differentiators customers actua

local_visibility_audit — Audits a business's local search presence: map-pack factors, listing consistency, category selection, site fundamentals — what to check, and

pricing_benchmark — Builds a defensible local pricing comparison within a category: how to normalize across differing service bundles, and what to do when compe