searchLABSCO SUMMARY
Look before you buy, built into the tool design.
Counting and masked previews cost nothing, and revealing costs only for contacts that verify as deliverable. That split is the whole point: you can find out whether a segment is worth the credits before you spend any of them, which is not how contact databases usually work.
What it is
A hosted remote connector for Argorant's B2B contact database at https://mcp.argorant.com/mcp, covering search, counting, preview, reveal, export and saved lists across a contact base numbering in the hundreds of millions.
What you get
- Free, credit-free operations first: counts of matching contacts by role, seniority, department, industry and geography
- Masked preview rows — initials, role, company, location — so a segment can be judged before it is bought
- Account state read back: which account is connected, its scopes and its limits
- Reveal of real emails, phones and profile URLs for a small set, with verification run live at that step and only valid, deliverable contacts billed
- Asynchronous CSV export for large lists, with status tracking and a downloadable preview
- Reusable saved lists, built and inspected through the same connector
- search and fetch tools shaped for ChatGPT's Deep Research connector
- Tools annotated read-only or action, and paid actions blocked by design without credits
Requirements
An Argorant account, authorized over OAuth with dynamic client registration — no API key to paste. Nothing is installed; the client connects to the endpoint. Unauthenticated requests to /mcp are rejected. Reveal, export and list actions run only after scope, permission, quota and plan checks pass.
Setup effort
Paste a URL, then authorize — add the endpoint to your client, then approve the OAuth consent screen
USE CASES
01
Finding out whether a segment is big enough to bother with
Count matching contacts by role, seniority, department, industry and geography before committing to anything.
02
Judging list quality before you pay
Read masked preview rows — initials, role, company, location — so the fit is checked on real records rather than on the filter description.
03
Getting contact details for a shortlist
Reveal emails, phones and profile URLs for a small set, with verification live at that step so undeliverable records are not billed.
04
Checking what your account can actually do
Read the connected account, its scopes and its limits, so a blocked action is understood rather than retried.
05
Narrowing a search that is too broad
Adjust the criteria and re-count until the segment is the size you want, all of it before any credit is spent.
13 tools
Listed in project docs. Your client may show a different list.
fetchargorant_accountargorant_count_peopleargorant_preview_peopleargorant_reveal_peopleargorant_create_exportargorant_export_listargorant_create_listargorant_list_statusargorant_export_statusargorant_export_batch_statusargorant_download_export_previewBEFORE YOU INSTALL
What to know first
Tools you get
13 tools named in the project's documentation.
Requires
A client that can reach a remote MCP server over HTTP
INSTALLATION
Connect your client
Add the endpoint to your client, then approve the OAuth consent screen.
Server setup
ENDPOINT URL
https://mcp.argorant.com/mcpMCP Clients
Claude Desktop
Settings → Connectors → *Add custom connector* → URL https://mcp.argorant.com/mcp → complete the OAuth login.
ChatGPT
Settings → Apps & Connectors → Advanced → enable Developer Mode → Connectors → *Create* → URL https://mcp.argorant.com/mcp.
Cursor, Any MCP client
JSON
{
"mcpServers": {
"argorant": {
"url": "https://mcp.argorant.com/mcp"
}
}
}
