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Teams deploying MCP-connected agents in production should implement tool-level allow-lists and per-tenant audit trails now, since the protocol's own OAuth 2.1 model only secures the server entry point and leaves individual tool access and supply chain risks unaddressed.
Developers building AI agents that need to call external APIs can use Decixa's MCP integration or `resolve` endpoint to replace brittle hardcoded endpoints with dynamically ranked, verified API options.
Developers can eliminate context-switching between their editor, GitHub UI, and CI dashboards by letting an AI agent directly read code, check CI logs, and act on repositories through natural language commands.
Developers building agent systems can now depend on Distillery's memory layer as stable infrastructure; consistent tool contracts and deterministic behavior prevent downstream planners, evals, and shared knowledge bases from inheriting instability that would otherwise compound across the agent stack.