How One Developer Safely Wired an AI Agent to Write Directly to a Production CMS

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A developer running a content platform built a Model Context Protocol (MCP) server to let an AI agent author and edit content directly in production, rather than relying on fragile REST scripts or browser automation. The agent authenticates via its own dedicated service token, keeping it fully separate from human credentials and making access revocation straightforward. All writes are funnelled through a single centralised runner that enforces audit logging, replacing a fragmented system spread across eighteen modules. A CI check validates that no code imports the audit service directly outside the approved runner, acting as a structural guardrail rather than a policy comment. The developer acknowledges one known limitation: field allowlists are duplicated between the backend and the MCP layer, a deliberate trade-off documented in the project's decision record.

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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