Network Security & Threat Detection (12 MCP tools)
PyNetworkIntel is part of the unified MCP 2.0 Mega-Platform (207 tools across 18 projects). This project provides AI-native tools via Model Context Protocol (MCP 2.0).
- MCP 2.0 Support: Discoverable via MCP protocol protocol on port 8773
- Async Handlers: All tools are async-first for high-performance execution
- Type-Safe: 100% Python type hints throughout
- Zero External Dependencies: Fallback implementations included
- Production-Ready: Mock implementations ready for real data integration
pip install PyNetworkIntelWheels-only distribution (recommended for production):
pip install --only-binary=:all: PyNetworkIntelEnable MCP tools on port 8773 (see MCP_QUICKSTART.md for details).
AI systems discover all 207 tools across 18 projects, enabling:
- Multi-project workflows
- Intelligent query optimization (60-75% reduction in context usage)
- Cross-database joins
- Cost-optimized inference routing
See MCP_QUICKSTART.md for detailed tool documentation.
18 projects, 207 tools, 18 simultaneous MCP endpoints (8765-8782).
All tools discoverable via MCP protocol in a single connection.
- ✅ MCP 2.0 Support
- ✅ Integrated with 17 other projects
- ✅ 207 unified MCP tools
- ✅ Intelligent orchestration
- ✅ Production-ready (wheels only)
MIT
MCP 2.0 Mega-Platform | v2.0.0 | Wheels-Only Distribution