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Background Check Quotes: the site's own MCP server — dataset, enquiry (enquiry = a human...
Remote server: your requests and data go to backgroundcheckquotes.com. Claude Code: claude mcp add --transport http site https://backgroundcheckquotes.com/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
dataset_columns — The columns, which of them are numeric, the row count and the provenance banner of the Background Check Quotes dataset. Call this first to ldataset_search — Rows of the Background Check Quotes dataset whose cells contain the query (case-insensitive), up to 50.dataset_row — The rows of the Background Check Quotes dataset where a column equals a value exactly (case-insensitive).dataset_compare — The rows of the Background Check Quotes dataset whose column is any of the given values, in the order given, for "X vs Y" questions.dataset_stats — count, min, max, mean, median and sum of a numeric column of the Background Check Quotes dataset (grouping commas and currency are handled; dataset_top — The highest (or lowest) rows of the Background Check Quotes dataset by a numeric column: "which is the most/least X".dataset_provenance — The source, the date it was computed, the licence and the citation for the Background Check Quotes dataset. Read this to attribute a figure enquiry_describe — Read first. States plainly what submit_enquiry does on Background Check Quotes: it starts an enquiry with Background Check Quotes, whose teaenquiry_fields — Every field of the Background Check Quotes enquiry: key, label, type, whether required, help text and the allowed options where there are ansubmit_enquiry — Submits an enquiry to Background Check Quotes: NOT a purchase, NOT a guaranteed quote. Step 1: call with the answers (keyed by field key froNot tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.