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Provides core infrastructure for AI inference, agents, and decision workflows.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Carbon Arc" MCP server from askskill: Run: claude mcp add --transport http 'io-github-carbon-arc-mcp' 'https://mcp.carbonarc.ai'
Use Carbon Arc capabilities to design a customer support agent workflow with model inference, tool calls, decision branches, and result logging, and provide system architecture recommendations.
A workflow design describing inference, decision nodes, tool integration, and infrastructure components.
Using Carbon Arc, plan inference infrastructure for an application requiring high-volume model calls, including service modules, scalability, monitoring, and failure handling.
An inference infrastructure plan covering architecture modules, scaling strategy, and operational considerations.
Explain how to integrate Carbon Arc into an existing product to support an AI decision engine, including input/output interfaces, rule controls, logging, and evaluation metrics.
An integration plan that helps a team understand how to add AI decision capabilities into a product.
Establish enterprise governance, delivery standards, and assurance for AI coding assistants.
Provide compliant AI economy infrastructure with risk, transparency, and bias controls.
Find, pay for, and call metered USDC APIs for AI agents.
Keep AI coding agents architecture-aware, verified, drift-checked, and safer over long tasks.
Inspect AI infrastructure events, connections, topology, capabilities, and related threads.
Read architecture config to map layers, trace slices, and validate rules.