AGENTUM MCP Server
Related Servers
Alternatives to AGENTUM MCP Server
No user-submitted related servers found.
Related Servers
AlicenseBqualityBmaintenanceEnables AI agents to access Brazilian public data including company registry and official sanction lists via MCP tools, with pay-per-call via USDC.47MIT- AlicenseAqualityBmaintenanceAn MCP server for Brazilian company and public procurement data, enabling CNPJ lookup, company search, tender resolution, and more via paid USDC-based API calls.1575MIT
- AlicenseNot gradedqualityAmaintenanceMCP server for Brazilian data lookups (Pix codes, CEP, CNPJ) and web rendering tasks (Markdown, screenshots, PDFs) via a paid HTTP API with x402 billing.241MIT
- FlicenseAqualityBmaintenanceMCP server providing verified Latin American data via x402 micropayments. 4 MCP tools: vera_rates (central bank rates CO/MX/BR/CL/PE), vera_sanctions (OFAC+SARLAFT+CNBV+COAF+UAF screening, EU AI Act Art.13), vera_entity (RUES/CNPJ/RFC enrichment), vera_context (AI market intelligence). $0.02–$0.10 USDC per call.4-
- AlicenseNot gradedqualityAmaintenanceValida CPFs, confirma titularidade, descobre CPF completo a partir de dígitos parciais e resolve CAPTCHA automaticamente, integrando com agentes AI via MCP.22MIT
- AlicenseNot gradedqualityCmaintenanceMCP server providing 10 pay-per-call APIs for web scraping, DNS, email validation, and French business data, with autonomous micropayments via the x402 protocol (USDC on Base).1MIT
TDQS
Scored across 5 tools
The tools verificar_cnpj and business_intelligence have significant overlap, as business_intelligence includes CNPJ cadastral status, address, and activities, making it a superset of verificar_cnpj. The other tools (taxas_brasil, verificar_cep, validar_cpf) are clearly distinct, but the ambiguity between these two CNPJ-related tools could lead to misselection.
Naming is inconsistent across language and pattern: three tools use Portuguese verbs (verificar_cnpj, verificar_cep, validar_cpf), one uses a Portuguese noun phrase (taxas_brasil), and one uses English (business_intelligence). This mix of languages and grammatical forms breaks any predictable pattern.
With only 5 tools, the server is well-scoped for its purpose of providing Brazilian business and tax data lookups. Each tool covers a distinct data domain (CNPJ, CEP, CPF, taxes, and a comprehensive business report), and none feel superfluous or missing to the point of underutilization.
The tool surface covers the core Brazilian identifiers (CNPJ, CPF, CEP) and financial rates, plus an aggregated business intelligence tool. A minor gap is that verificar_cnpj seems redundant with business_intelligence, and there is no tool for other entity types (e.g., IE – state registration), but the primary use cases are well covered.