Give your agent LatSouth's registries as tools.
The 14 LatSouth actors through Apify's MCP server: one URL, OAuth sign-in, priced per returned row. Company data only.
Connect a client.
Apify runs a hosted MCP server at https://mcp.apify.com. The tools query parameter limits it to the actors you name, so the agent sees only LatSouth's tools. All 14 actors:
https://mcp.apify.com?tools=latsouth/latam-company-finder,latsouth/latam-company-enrichment,latsouth/latam-gov-contracts,latsouth/brazil-company-finder,latsouth/brazil-verified-contacts,latsouth/brazil-health-facilities,latsouth/mexico-company-finder,latsouth/chile-company-finder,latsouth/colombia-company-finder,latsouth/peru-company-finder,latsouth/argentina-company-finder,latsouth/ecuador-company-finder,latsouth/paraguay-company-finder,latsouth/dominican-republic-company-finder
Claude (desktop and claude.ai)
- Settings → Connectors → Add → Add custom connector.
- Name
LatSouth; Remote MCP server URL: the URL above (or one actor's URL below). - Continue, keep the detected OAuth settings, Add; sign in to Apify in the browser window.
On Team and Enterprise plans an owner adds the connector for the organisation.
ChatGPT
- Enable Developer mode, then Settings → Apps & Connectors → Create.
- MCP Server URL: the URL above; Authentication: OAuth (no client id or secret).
- Create, then authorise ChatGPT on the Apify page it opens.
Cursor and other clients with an mcpServers file
OAuth (recommended):
{
"mcpServers": {
"latsouth": {
"url": "https://mcp.apify.com?tools=latsouth/latam-company-finder,latsouth/latam-company-enrichment,latsouth/latam-gov-contracts,latsouth/brazil-company-finder,latsouth/brazil-verified-contacts,latsouth/brazil-health-facilities,latsouth/mexico-company-finder,latsouth/chile-company-finder,latsouth/colombia-company-finder,latsouth/peru-company-finder,latsouth/argentina-company-finder,latsouth/ecuador-company-finder,latsouth/paraguay-company-finder,latsouth/dominican-republic-company-finder"
}
}
}Cursor shows it under Cursor Settings → Tools & MCPs (Connect starts the OAuth flow). With the Apify CLI, apify mcp install cursor writes the entry for you.
Token instead of OAuth, or a local server
Bearer token header:
{
"mcpServers": {
"latsouth": {
"url": "https://mcp.apify.com?tools=latsouth/latam-company-finder,latsouth/latam-company-enrichment,latsouth/latam-gov-contracts,latsouth/brazil-company-finder,latsouth/brazil-verified-contacts,latsouth/brazil-health-facilities,latsouth/mexico-company-finder,latsouth/chile-company-finder,latsouth/colombia-company-finder,latsouth/peru-company-finder,latsouth/argentina-company-finder,latsouth/ecuador-company-finder,latsouth/paraguay-company-finder,latsouth/dominican-republic-company-finder",
"headers": {
"Authorization": "Bearer <APIFY_TOKEN>"
}
}
}
}Local stdio server (Node.js 18+):
{
"mcpServers": {
"latsouth": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--tools",
"latsouth/latam-company-finder,latsouth/latam-company-enrichment,latsouth/latam-gov-contracts,latsouth/brazil-company-finder,latsouth/brazil-verified-contacts,latsouth/brazil-health-facilities,latsouth/mexico-company-finder,latsouth/chile-company-finder,latsouth/colombia-company-finder,latsouth/peru-company-finder,latsouth/argentina-company-finder,latsouth/ecuador-company-finder,latsouth/paraguay-company-finder,latsouth/dominican-republic-company-finder"
],
"env": {
"APIFY_TOKEN": "<APIFY_TOKEN>"
}
}
}
}Claude Code: claude mcp add --transport http latsouth "https://mcp.apify.com?tools=latsouth/latam-company-finder,latsouth/latam-company-enrichment,latsouth/latam-gov-contracts,latsouth/brazil-company-finder,latsouth/brazil-verified-contacts,latsouth/brazil-health-facilities,latsouth/mexico-company-finder,latsouth/chile-company-finder,latsouth/colombia-company-finder,latsouth/peru-company-finder,latsouth/argentina-company-finder,latsouth/ecuador-company-finder,latsouth/paraguay-company-finder,latsouth/dominican-republic-company-finder".
Runs started by an agent are billed to the Apify account that authorised the connection, at the per-event prices below. Read-only tools (search, actor details) work without signing in; running an actor needs the sign-in or token.
One tool per dataset.
Each actor becomes a tool with its own input schema; the agent reads it and fills the filters. Field-level reference and code: API.
| Actor (tool) | MCP server URL with only this actor | Price |
|---|---|---|
LATAM Company Finder: 7 Countries, ISIC, English Labelslatsouth/latam-company-finder | https://mcp.apify.com?tools=latsouth/latam-company-finder | US$0.004 per company-result event (US$4 per 1,000) |
LATAM Company Enrichment — CNPJ, RUT, NIT, RUC, CUIT Lookuplatsouth/latam-company-enrichment | https://mcp.apify.com?tools=latsouth/latam-company-enrichment | US$0.01 per enriched-match event (US$10 per 1,000); US$0.001 per no-match event (US$1 per 1,000) |
LATAM Gov Contracts & Suppliers — Licitações PNCP, SECOPlatsouth/latam-gov-contracts | https://mcp.apify.com?tools=latsouth/latam-gov-contracts | US$0.005 per record event (US$5 per 1,000) |
Brazil Company Leads & CNPJ Lookup — Empresas por CNAElatsouth/brazil-company-finder | https://mcp.apify.com?tools=latsouth/brazil-company-finder | US$0.0015 per company-result event (US$1.5 per 1,000); US$0.0002 per cnpj-not-found event (US$0.2 per 1,000) |
Brazil Company Contacts — Website, Email & Phone (CNPJ)latsouth/brazil-verified-contacts | https://mcp.apify.com?tools=latsouth/brazil-verified-contacts | US$0.01 per company-result event (US$10 per 1,000) |
Brazil Health Facilities (CNES, CNPJ, phone)latsouth/brazil-health-facilities | https://mcp.apify.com?tools=latsouth/brazil-health-facilities | US$0.005 per record event (US$5 per 1,000) |
Mexico Company Leads (DENUE) — Empresas por Actividadlatsouth/mexico-company-finder | https://mcp.apify.com?tools=latsouth/mexico-company-finder | US$0.003 per company-result event (US$3 per 1,000) |
Chile Company Finder: RUT Registry, ISIC, Size, Englishlatsouth/chile-company-finder | https://mcp.apify.com?tools=latsouth/chile-company-finder | US$0.003 per company-result event (US$3 per 1,000) |
Colombia Company Finder: NIT, RUES, Supersociedades, Contactslatsouth/colombia-company-finder | https://mcp.apify.com?tools=latsouth/colombia-company-finder | US$0.003 per company-result event (US$3 per 1,000) |
Peru Company Finder: SUNAT RUC 20 Registry, ISIC, Employeeslatsouth/peru-company-finder | https://mcp.apify.com?tools=latsouth/peru-company-finder | US$0.003 per company-result event (US$3 per 1,000) |
Argentina Company Finder: CUIT, Registro Nacional Sociedadeslatsouth/argentina-company-finder | https://mcp.apify.com?tools=latsouth/argentina-company-finder | US$0.003 per company-result event (US$3 per 1,000) |
Ecuador Company Finder: SRI RUC Registry, ISIC, Englishlatsouth/ecuador-company-finder | https://mcp.apify.com?tools=latsouth/ecuador-company-finder | US$0.003 per company-result event (US$3 per 1,000) |
Paraguay Company Finder: RUC Registry (DNIT), Legal Formlatsouth/paraguay-company-finder | https://mcp.apify.com?tools=latsouth/paraguay-company-finder | US$0.003 per company-result event (US$3 per 1,000) |
Dominican Republic Company Finder: RNC, ISIC, MSME Sizelatsouth/dominican-republic-company-finder | https://mcp.apify.com?tools=latsouth/dominican-republic-company-finder | US$0.003 per company-result event (US$3 per 1,000) |
Prompts that work.
- LATAM Company Finder: 7 Countries, ISIC, English Labels: “Use
latsouth/latam-company-finderwith isic_divisions = ["62"], max_results_per_country = 2, max_results = 14 and summarise the rows.” - LATAM Company Enrichment — CNPJ, RUT, NIT, RUC, CUIT Lookup: “Use
latsouth/latam-company-enrichmentwith identifiers = ["33.000.167/0001-01", "CO:899999068-1", "pipefy.com"] and summarise the rows.” - LATAM Gov Contracts & Suppliers — Licitações PNCP, SECOP: “Use
latsouth/latam-gov-contractswith mode = "contracts", countries = ["CO", "BR"], keywords = ["software"], only_new_since = "60 days" and summarise the rows.” - Brazil Company Leads & CNPJ Lookup — Empresas por CNAE: “Use
latsouth/brazil-company-finderwith cnae_divisions = ["62"], states = ["SP"], max_results = 10 and summarise the rows.” - Brazil Company Contacts — Website, Email & Phone (CNPJ): “Use
latsouth/brazil-verified-contactswith cnae_divisions = ["62"], states = ["SP"], max_results = 10 and summarise the rows.” - Brazil Health Facilities (CNES, CNPJ, phone): “Use
latsouth/brazil-health-facilitieswith states = ["SP"], facility_categories = ["hospital"], max_results = 10 and summarise the rows.” - Mexico Company Leads (DENUE) — Empresas por Actividad: “Use
latsouth/mexico-company-finderwith scian_sectors = ["54"], states = ["09"], max_results = 10 and summarise the rows.” - Chile Company Finder: RUT Registry, ISIC, Size, English: “Use
latsouth/chile-company-finderwith regions = ["METROPOLITANA_DE_SANTIAGO"], isic_divisions = ["62"], max_results = 10 and summarise the rows.” - Colombia Company Finder: NIT, RUES, Supersociedades, Contacts: “Use
latsouth/colombia-company-finderwith regions = ["BOGOTA_D_C"], isic_divisions = ["62"], max_results = 10 and summarise the rows.” - Peru Company Finder: SUNAT RUC 20 Registry, ISIC, Employees: “Use
latsouth/peru-company-finderwith regions = ["LIMA"], isic_divisions = ["62"], max_results = 10 and summarise the rows.” - Argentina Company Finder: CUIT, Registro Nacional Sociedades: “Use
latsouth/argentina-company-finderwith regions = ["CIUDAD_AUTONOMA_BUENOS_AIRES"], isic_divisions = ["62"], max_results = 10 and summarise the rows.” - Ecuador Company Finder: SRI RUC Registry, ISIC, English: “Use
latsouth/ecuador-company-finderwith regions = ["PICHINCHA"], isic_divisions = ["62"], max_results = 10 and summarise the rows.” - Paraguay Company Finder: RUC Registry (DNIT), Legal Form: “Use
latsouth/paraguay-company-finderwith keyword = "agro", legal_forms = ["corp_like"], max_results = 10 and summarise the rows.” - Dominican Republic Company Finder: RNC, ISIC, MSME Size: “Use
latsouth/dominican-republic-company-finderwith isic_divisions = ["46"], max_results = 10 and summarise the rows.”
Each prompt uses the actor's own example input; ask for a row count first (most actors report total_matching in the run OUTPUT) before pulling thousands of rows.
Prefer files or a custom cut?
The same data as CSV + Parquet, or a quoted custom list.