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GoodLeads

club.goodleads/new-business-owner-contacts · v1.0.0

Measured by MCP Station

Description written by the publisher, not verified

Find new business owner contacts the morning the state posts a filing. Preview free, pay per record.

Connect

claude mcp add --transport http new-business-owner-contacts https://mcp.goodleads.club/mcp

{
  "mcpServers": {
    "new-business-owner-contacts": {
      "url": "https://mcp.goodleads.club/mcp"
    }
  }
}

Tools as reported by the server

• find_lead_by_glid
  One record in full, by its Lead ID (e.g. `GL-CO-00042`). Use this when you already hold a Lead ID — from a file, a CRM, a receipt — and want everything we know about that business and its owner: the business, the primary contact, both scores, every attribute, and where each field came from. Args: gl
• data_quality_scorecard
  How clean is the data a buyer would receive in a state — numbers, not adjectives. The scorecard grades the records a buyer would receive on mechanical conformance across four dimensions — format (state/phone/email/zip), completeness (a name for who filed it, an address present), consistency (names i
• field_fill_rates
  How complete is every column in the file a buyer receives — exact counts, one call. Answers "what share of the records carries a value in each field?" for every delivered column, in the file's own order. It is exact (counted from stored values over every sellable record, not sampled) and always curr
• browse_leads
  Browse leads — rows for a shape or a saved list, or (`summary=True`) its counts, facets and price. **Type it the way your buyer says it.** Filter values are understood, not matched literally: "residential", "cell", "CST", "Texas", "on fire", "Denver metro" and "working from home" all resolve (case,
• interpret_list
  Start here: the buyer's own words become a list we can count, price and sell. Give it what the buyer would type ("cleaning companies in Texas", "denver plumbers formed last 30 days with a phone", "NAICS 238220", "SIC 1711", "MCC 5812", "google category plumber") and you get back a list shape in the
• quote_list
  What this list costs before anyone pays: how many records name a person, and the price by grade. Pass a saved list (`list_id`, the 8-char id in `#browse?list=<id>`) or an inline shape (`filters` + `states`; omit `states` for every live state: CO, CT, FL, NY, OR, TX, VA). You get the same numbers the
• list_starters
  Ready-made lists to start from: every live state × business type, with live counts and a starting price. Returns one document: `{"count": N, "starters": [...]}` — one entry per (state, business type): the display `label`, the exact `filters` the card opens with, the graded counts (`matching`, `sella
• checkout_list
  Turn a quoted list into a payment link a person completes — the buyer gets the file within a minute of paying. Creating the link costs nothing and charges nobody — payment only happens if a human opens the returned `checkout_url` and completes it on Stripe's hosted page; the purchase is complete onl
• list_filterable_fields
  The filter contract, from the schema endpoint (`GET /api/v1/schema/attributes?include=grammar`): fields, grammar, or recipes. Call this before building `browse_leads` filters you haven't used before. Each field lists the `allowed_values` when its vocabulary is closed and its `accepted_words` — the b
• explain_concept
  Translate a classification code, or map YOUR word for a concept to this surface's fields — ask before concluding absence. **Codes — the crosswalk.** Every record carries NAICS, SIC, the Google Business category and the payment MCC, tied together by our own taxonomy. Give ANY one — `term` "MCC 5812",
• list_live_states
  Where we are live right now — the state codes, read from production, never a cached page. Call it before promising a buyer a state: a state not in this list is not live yet. Returns `[{"state": "CO"}, ...]` — codes only, no counts. For how many records a state holds, `quote_list` (or `browse_leads(s
• describe_surface
  What GoodLeads is, who buys it and how every record is built — call this to explain or vet us; to price a list, start with interpret_list. It is for anyone who wins by reaching a business owner first: to sell what a new owner needs now, to be the name they already know a year from now, to spot their
• list_products
  The shelf — ready-made business type × state lists, with live counts. Returns the same live document `list_starters` returns — `{"count": N, "starters": [...]}`, one entry per (state, business type) with its display `label`, the exact `filters` it opens with, the graded counts (`matching`, `sellable
• create_checkout
  Mint a hosted Stripe Checkout link for a list you shaped — the same code as `checkout_list`. Creating the link costs nothing and charges nobody — payment only happens if a human opens the returned `checkout_url` and completes it on Stripe's hosted page; the purchase is complete only when that person

Tool changes

• 2026-10-23: find_lead_by_glid, data_quality_scorecard, field_fill_rates, browse_leads, interpret_list, quote_list, list_starters, checkout_list, list_filterable_fields, explain_concept, list_live_states, describe_surface
• 2026-10-22: find_lead_by_glid, data_quality_scorecard, field_fill_rates, browse_leads, interpret_list, quote_list, list_starters, checkout_list, list_filterable_fields, explain_concept, list_live_states, describe_surface
• 2026-10-16: find_lead_by_glid, data_quality_scorecard, field_fill_rates, browse_leads, interpret_list, quote_list, list_starters, checkout_list, list_filterable_fields, explain_concept, list_live_states, describe_surface

Website · JSON · Text for agents · Registry updated 2026-09-10