mcp2tcp bridges AI Large Language Models with physical hardware devices through serial communication, enabling models to interact with the real world. It automatically detects and configures serial ports, supports multiple baud rates, and provides real-time status monitoring with error handling. The implementation includes a flexible command system that allows users to define custom commands in a YAML configuration file, making it ideal for IoT projects, hardware control, and physical computing applications where AI models need to communicate with microcontrollers or other serial devices.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.