MCP server

Contractorleadquotes Site Official

com.contractorleadquotes/site

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Contractor Lead Quotes: the site's own MCP server — dataset, enquiry (enquiry = a human handoff,...

Website

At a glance

Type

MCP server

Publisher

contractorleadquotes.com (verified by the MCP Registry)

Status

Working at last check

Tools

10

Token cost

About 1,416 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http site https://contractorleadquotes.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.site]
url = "https://contractorleadquotes.com/mcp"

Gemini CLI

{"mcpServers":{"site":{"httpUrl":"https://contractorleadquotes.com/mcp"}}}

Cursor

{"mcpServers":{"site":{"url":"https://contractorleadquotes.com/mcp"}}}

VS Code

{"servers":{"site":{"type":"http","url":"https://contractorleadquotes.com/mcp"}}}

Antigravity

agy mcp add site https://contractorleadquotes.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"site","server_url":"https://contractorleadquotes.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"site","server_url":"https://contractorleadquotes.com/mcp"}

Tools

• dataset_columns ~86 tokens
  The columns, which of them are numeric, the row count and the provenance banner of the Contractor Lead Quotes dataset. Call this first to learn the schema.
• dataset_compare ~135 tokens
  The rows of the Contractor Lead Quotes dataset whose column is any of the given values, in the order given — for "X vs Y" questions.
• dataset_provenance ~85 tokens
  The source, the date it was computed, the licence and the citation for the Contractor Lead Quotes dataset. Read this to attribute a figure correctly.
• dataset_row ~110 tokens
  The rows of the Contractor Lead Quotes dataset where a column equals a value exactly (case-insensitive).
• dataset_search ~124 tokens
  Rows of the Contractor Lead Quotes dataset whose cells contain the query (case-insensitive), up to 50.
• dataset_stats ~119 tokens
  count, min, max, mean, median and sum of a numeric column of the Contractor Lead Quotes dataset (grouping commas and currency are handled; non-numeric rows are excluded and counted).
• dataset_top ~143 tokens
  The highest (or lowest) rows of the Contractor Lead Quotes dataset by a numeric column — "which is the most/least X".
• enquiry_describe ~128 tokens
  Read first. States plainly what submit_enquiry does on Contractor Lead Quotes: it starts an enquiry with human providers who quote directly. Nothing is bought, ordered or paid; no quote is guaranteed; it is free. Also returns who receives the details, the consent wording, and how the person confirms
• enquiry_fields ~96 tokens
  Every field of the Contractor Lead Quotes enquiry: key, label, type, whether required, help text and the allowed options where there are any. Pass answers to submit_enquiry keyed by field key.
• submit_enquiry ~390 tokens
  Submits an enquiry to Contractor Lead Quotes — NOT a purchase, NOT a guaranteed quote. Step 1: call with the answers (keyed by field key from enquiry_fields) and consent=true; it validates and returns a summary, the consent line and a confirmation token — show the person the summary and the consent

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