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 raw-labs · MCP Server · ★ 70
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mxcp safe to install? View the security audit →
MXCP: Enterprise-Grade MCP Framework for AI Applications The structured methodology for building production-ready MCP servers with enterprise security, data quality, and comprehensive testing 🚀 What Makes MXCP Different? MXCP isn't just another MCP implementation - it's a complete methodology for building production AI applications the right way: The Production-Ready Approach 📊 Data Modeling First: Start with dbt models, data contracts, and quality tests 📋 Service Design: Define types, security policies, and API contracts upfront 🛠️ Smart Implementation: Choose SQL for data, Python for logic - or combine both ✅ Quality Assurance: Validate, test, lint, and evaluate before deployment 🚨 Production Operations: Monitor drift, track audits, ensure performance Enterprise Features Built-In 🔒 Security First: OAuth authentication, RBAC, policy enforcement 📝 Complete Audit Trail: Track every operation for compliance 🎯 Type Safety: Comprehensive validation across SQL and Python 🧪 Testing Framework: Unit tests, integration te
| Stars | 70 |
| Forks | 10 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 61.0243176991698/100 |
| Open Issues | 45 |
| Last Updated | 2026-06-30 |
| Created | 2025-05-21 |
| Platforms | claude-code, cli, mcp, python |
| Est. Tokens | ~19k |
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mxcp is Model eXecution + Context Protocol: Enterprise-Grade Data-to-AI Infrastructure. It is categorized as a MCP Server with 70 GitHub stars.
mxcp is primarily written in Python. It covers topics such as chatgpt, claude, dbt.
You can find installation instructions and usage details in the mxcp GitHub repository at github.com/raw-labs/mxcp. The project has 70 stars and 10 forks, indicating an active community.
The top alternatives to mxcp on Agent Skills Hub include nvim-mcp, oreilly-ai-agents, daan. 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: