MCP.Market

Bigdatacorp MCP server

by codespar·io.github.codespar/mcp-bigdatacorp·v0.1.2·271 stars
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MCP server for BigDataCorp — Brazilian data enrichment + KYC (CPF/CNPJ/vehicle/property/antifraud)

B82/100grade B
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Safety scan
B82/100

full report

Adoption
Established

271 stars22 downloads/wk

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Bigdatacorp tools (10)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • address_validation

    Address normalization + validation against CORREIOS + IBGE — canonical address, CEP, neighborhood, city, state, geocode. POST /v1/datasets/addresses.

  • antifraud_score

    Composite fraud risk score (0-1000) for a transaction context (CPF + email + phone + IP + device). Returns score, risk factors, decision recommendation. POST /v1/datasets/antifraud.

  • companies_lookup

    CNPJ lookup — razão social, fantasia, founding date, paid-in capital, partners, address, CNAE. POST /v1/datasets/companies.

  • employment_data

    Employment profile for a CPF — current employer, history, monthly income, professional category. POST /v1/datasets/persons.

  • financial_data

    Credit + financial profile for a CPF/CNPJ — income, score, declared assets, banking, default history. POST /v1/datasets/persons.

  • persons_lookup

    CPF lookup — name, DOB, mother's name, address history, contacts, deceased flag. POST /v1/datasets/persons.

  • properties_lookup

    Real-estate lookup by address or registration — property type, area, owner history, market value estimate. POST /v1/datasets/properties.

  • sanctions_check

    Sanctions + PEP screening (OFAC / UN / EU / BR PEP / CNJ / INSS / IBAMA) for a CPF or CNPJ. POST /v1/datasets/persons.

  • social_signals

    Social-presence enrichment for a CPF (Instagram / LinkedIn / Twitter / Facebook handles + follower counts). POST /v1/datasets/persons.

  • vehicles_lookup

    Vehicle lookup by plate / chassis / RENAVAM — make, model, year, color, fuel, FIPE price, ownership history, restrictions. POST /v1/datasets/vehicles.

Public scan report

scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it

no findings
  • Code scan3 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 29 days ago15/15
  • Maintainer identityregistry namespace matches repository owner7/10
Overall 82/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Bigdatacorp compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
82/100
higher than 63% of 48,255 servers
Tools
10
the typical server has 7
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
271
more than 95% of 28,688 servers
Downloads a week
22
more than 8% of 12,191 servers with a package

What its tools let an agent do: 9 read · 1 create

Install Bigdatacorp in Claude Code, Cursor or VS Code

Runs npx -y @codespar/mcp-bigdatacorp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add mcp-bigdatacorp -- npx -y @codespar/mcp-bigdatacorp
Add to Cursor

What the publisher says

From the Bigdatacorp repository's README, as published. We do not edit it. Read it on GitHub

MCP Dev LATAM 🌎 Every commerce API your AI agent needs to run a business in Latin America. Brazil 🇧🇷 · Mexico 🇲🇽 · Argentina 🇦🇷 · Colombia 🇨🇴 · Chile 🇨🇱 · Peru 🇵🇪 · plus 4 agentic payment protocols. MCP servers for LATAM commerce · live in the official MCP Registry · MIT License Machine-readable catalog: codespar.dev/api/servers Catalog · Quick Start · Agentic Protocols · All Servers · Contribute

The Problem

AI agents can write code, analyze data, and chat. But they can't operate a business — collect payments, issue invoices, ship products, or notify customers. Especially not in Latin America, where every service has its own API, auth pattern, and quirks (mTLS for BACEN Pix v2, JWT-RSA for STP-SPEI, AFIP web services, contract-gated developer portals, and on).

Meanwhile, four agentic payment protocols are shipping in parallel — checkout protocols (Stripe ACP, Google UCP), authorization layers (AP2), and micropayment rails (x402) — and none of them compose cleanly with each other or with the regional rails businesses actually run on.

MCP Dev LATAM bridges both gaps. Traditional LATAM services + the new agentic payment protocols, all accessible through a single MCP interface.

The Solution

Each MCP server in this repo wraps a real provider — payments, fiscal, logistics, messaging, banking, ERP, identity, fraud, crypto, and the agentic protocols — so your agent can operate a complete business workflow.

🛒 Customer places order
  → 💳 Agent charges via Pix (Asaas / Mercado Pago / Zoop)
  → 📄 Agent issues NFe (Nuvem Fiscal / Focus NFe / NFe.io)
  → 📦 Agent generates shipping label (Melhor Envio / Skydropx)
  → 📱 Agent sends tracking via WhatsApp (Z-API / WhatsApp Cloud)
  → 📊 Agent records in ERP (Omie / Bling / Tiny)
  → 🏦 Agent reconciles balance (Stark Bank / Itaú / BTG)

Six systems. Zero human intervention. One agent.

Agentic Payment Protocols

Four servers for the emerging agentic payment stack:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Bigdatacorp: common questions

Is Bigdatacorp MCP server safe?
Mostly: it is graded B (82/100). Read the Bigdatacorp safety report
How do I install Bigdatacorp?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Bigdatacorp need an API key?
Yes. The registry entry asks for BIGDATACORP_ACCESS_TOKEN, BIGDATACORP_TOKEN_ID.
Is Bigdatacorp maintained?
The last commit was 67 days ago (2026-08-29). The latest release is v0.1.2.
How does Bigdatacorp compare with other MCP servers?
safety score 82/100 (higher than 63% of 48,255 servers); tools 10 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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