No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by codespar · MCP Server · ★ 269
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-dev-latam safe to install? View the security audit →
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. 109 MCP servers · 2,289 tools · 6 countries · MIT License 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
| Stars | 269 |
| Forks | 49 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.038473410286/100 |
| Open Issues | 7 |
| Last Updated | 2026-08-29 |
| Created | 2026-03-30 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~19k |
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mcp-dev-latam is Open-source MCP servers for Latin American commerce — Pix, NF-e, banking, fiscal, logistics, and messaging across Brazil, Mexico, Argentina, Colombia, Chile, and Peru. MIT, on npm.. It is categorized as a MCP Server with 269 GitHub stars.
mcp-dev-latam is primarily written in TypeScript. It covers topics such as agentic-commerce, ai-agents, brazil.
You can find installation instructions and usage details in the mcp-dev-latam GitHub repository at github.com/codespar/mcp-dev-latam. The project has 269 stars and 49 forks, indicating an active community.
mcp-dev-latam is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-dev-latam on Agent Skills Hub include atlassian-mcp-server, mcp-nixos, maverick-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: