GIS LATAM exposes official public registries from 6 Latin American countries as native MCP servers — geocoding, territorial intelligence, and people verification, ready for AI agents with no custom integration.
Why GIS LATAM exists
Latin America generates enormous amounts of public data — geographic registries, population records, company filings, territorial statistics. Governments publish it. Regulators require it. But for most organizations, that data remains inaccessible: scattered across agencies, in inconsistent formats, with no standard interface for modern systems to consume it.
GIS LATAM was built to solve that. We aggregate and expose official public data from six Latin American countries as native MCP servers — making it instantly available to AI agents, without custom integrations, without data brokers, without months of implementation work.
The result: AI-powered products that know where their customers live, what their economic context is, and whether their identity checks out — automatically, on every operation.
Any MCP-compatible agent connects in minutes. No SDK, no wrapper, no custom parsing. Your agent discovers all tools automatically.
Every record comes from government registries — ANSES, SUNAT, SII, RUES, INEGI, DANE. No proprietary data. No inferred records. Nothing invented.
Load credits once, configure your agent once. From that point on, every new customer your agent processes is verified and enriched automatically — no human intervention, no renewals.
What we offer
Whether you need to place a coordinate on a map or verify a person in real time, GIS LATAM gives your agent the right data at the right granularity.
An agent sends an address and receives structured geographic context in return: validated coordinates, census data, socioeconomic indicators, and risk layers — all from official sources.
An agent sends an identifier — a tax ID, a name, a document number — and receives verified contextual data from official public registries in each country.
Coverage
Live in 4 countries with proprietary data. Chile and Peru are staging — data already loaded, servers in development.
Use Cases
GIS LATAM is built for fintechs, insurtechs, banks, and telcos operating in Latin America. Here's what your agent can do on day one.
Data attributes
Every field sourced from official public registries — nothing inferred, nothing invented. Availability varies by country.
| Field | Description | Countries |
|---|---|---|
| state_province | Normalized state or province name | |
| municipality | Municipal division | |
| locality | Neighborhood or locality / colonia | |
| street_name | Normalized street name | |
| street_number | Door number | |
| postal_code | Official postal code | |
| lat / lng | GPS coordinates | |
| nse | Socioeconomic level by census area (1–6) | |
| flood_risk | Territorial flood risk level | |
| seismic_risk | Territorial seismic risk level |
| Field | Description | Countries |
|---|---|---|
| area_code | Phone area code | |
| full_phone | Complete national number | |
| intl_format | +country format | |
| phone_type | Landline / mobile classification | |
| repep_status | Registered in Do-Not-Call registry | |
| phone_state | Geographic origin of number |
| Field | Description | Countries |
|---|---|---|
| tax_id | CUIL / CURP / RUC / NIT national identifier | |
| first_name / last_name | Separated name fields from official registry | |
| date_of_birth | DOB from official registry | |
| sex | Official registry value | |
| nationality | Country of origin | |
| registered_domicile | Official address from registry | |
| social_benefit | Government welfare enrollment | |
| nse | NSE derived from domicile | |
| deceased_flag | Record found in mortality registry |
| Field | Description | Countries |
|---|---|---|
| company_name | Legal registered name | |
| tax_id | CUIT / RUT / NIT company tax identifier | |
| legal_status | Active / dissolved / suspended | |
| registered_address | Official company domicile | |
| activity_code | Official economic activity | |
| registration_date | Date of incorporation | |
| legal_representatives | Authorized signatories |
Tool reference
Every tool is callable via MCP from any compatible agent or client. Your agent discovers them automatically via SSE.
| Tool | Description | Type |
|---|---|---|
| geocodificar_direccion | Argentine address → lat/lon using official cartography | GEO |
| enriquecer_por_coordenada | lat/lon → NSE, locality, province, census data | GEO |
| riesgo_por_coordenada | lat/lon → SINAGIR hydrological and seismic risk | GEO |
| buscar_localidad | Text search → matching localities in Argentina | GEO |
| info_cp | Postal code → coverage polygon and administrative data | GEO |
| enriquecer_lote | Batch coordinate enrichment — multiple records per call | GEO |
| buscar_persona_ar | Search individuals in ANSES registry (15.9M records) | PEOPLE |
| enriquecer_cuil_ar | CUIL → full profile from ANSES: name, DOB, domicile, NSE | PEOPLE |
| perfil_empresarial_ar | Company name/CUIT → IGJ registry, legal status, representatives | PEOPLE |
| Tool | Description | Type |
|---|---|---|
| geocodificar_mx | Mexican address → lat/lon using INEGI 2022 road network | GEO |
| reverse_geocodificar_mx | lat/lon → street address, colonia, municipality, state | GEO |
| enriquecer_por_coordenada_mx | lat/lon → INEGI census data + economic activity | GEO |
| enriquecer_lote_mx | Batch coordinate enrichment for Mexico | GEO |
| bienestar_por_municipio_mx | Municipality → INEGI welfare and poverty indices | GEO |
| riesgo_inundacion_mx | lat/lon → official flood risk classification | GEO |
| centros_cuidado_cercanos_mx | lat/lon → nearby SIDECU care centers (IMSS, DIF) | GEO |
| verificar_repep_mx | Phone number → Do-Not-Call registry verification | PEOPLE |
| verificar_lote_repep_mx | Batch phone list → REPEP mass verification | PEOPLE |
| catalogo_capacidades_mx | Returns description of all Mexico server capabilities | GEO |
| Tool | Description | Type |
|---|---|---|
| geocodificar_co | Colombian address → lat/lon using DANE nomenclature | GEO |
| reverso_co | lat/lon → address, barrio, municipality, department | GEO |
| info_manzana_co | lat/lon → DANE 2018 census block data, population, NSE | GEO |
| buscar_municipio_co | Text → matching municipalities with DANE codes | GEO |
| buscar_calle_co | Street name search across Colombia | GEO |
| Tool | Description | Type |
|---|---|---|
| geocodificar_ec | Ecuadorian address → lat/lon using OSM road network | GEO |
| reverso_ec | lat/lon → street, parroquia, canton, province | GEO |
| enriquecer_por_coordenada_ec | lat/lon → administrative and locality data | GEO |
| buscar_lugar_ec | Text → matching localities and cantons in Ecuador | GEO |
| catalogo_capacidades_ec | Returns description of all Ecuador server capabilities | GEO |
Pricing
Credits are only charged on successful calls. If the record is not found, you pay nothing. Credits never expire. No subscription, no auto-charge.
Multiply your monthly new customers by USD 0.009 per record (Growth plan). Assumes 2 calls per customer — geocoding + people verification. Failed calls are not charged.
| Monthly volume | Calls/month | Cost/month | Recommended plan |
|---|---|---|---|
| 1,000 new customers | 2,000 | USD 17 | Starter |
| 5,000 new customers | 10,000 | USD 83 | Growth |
| 25,000 new customers | 50,000 | USD 417 | Growth / Scale |
| 100,000 new customers | 200,000 | USD 1,600 | Scale / Enterprise |
Integration
GIS LATAM is MCP-native. Add it to Claude, Cursor, or any MCP-compatible agent with a single config entry.
Contact us to receive your API token and the SSE endpoint for the countries you need. Free tier: 2,000 credits, corporate email required.
Point your agent at api.gislatam.io/{country}/sse using your token. Auto-discovery is supported via .well-known/mcp.json.
Your agent discovers all available tools automatically. No SDK or wrapper needed. Full schema on request.
Configure once. From that point, your agent verifies and enriches every customer automatically — no renewals, no human approval.
Data sources & compliance
All data published through GIS LATAM originates from official public sources — the same registries that governments, financial institutions, and regulators consult in each country. Geographic data comes from national mapping and census agencies. People and company data comes from tax authorities, civil registries, and corporate filing bodies.
GIS LATAM does not collect, store, or commercialize personal data. The platform enriches data that clients already hold about their own customers, using context derived from public official sources.
All processing respects the applicable data protection frameworks in each jurisdiction.
| Country | Applicable framework |
|---|---|
| 🇦🇷 Argentina | Ley 25.326 de Protección de Datos Personales |
| 🇲🇽 Mexico | LFPDPPP |
| 🇨🇴 Colombia | Ley 1581 de Habeas Data |
| 🇪🇨 Ecuador | LOPDP — Ley Orgánica de Protección de Datos |
| 🇵🇪 Peru / 🇨🇱 Chile | Applicable national frameworks |
FAQ
A call is successful when the API returns a valid enriched result. If the record is not found in our databases — no match for the address, DNI, or company — the call is not charged.
Your agent stops receiving enriched data and you receive an email notification. Service resumes immediately after you reload. No data is lost.
Yes. Credits are unified — 1 credit = 1 call regardless of country or data type (Geo or People).
Never. Your balance stays active indefinitely. No monthly reset, no pressure to consume before any deadline.
Any client that implements the Model Context Protocol: Claude (Anthropic), Cursor, LangChain, and any framework supporting MCP over SSE.
Yes — larger packages have a lower per-call rate. Growth (USD 8.33/1K) to Enterprise (USD 7.50/1K). No negotiation needed, just choose your package.