Trusting an API Is Not the Same as Trusting the Data It Returns

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A developer building a personal MCP server discovered a blind spot in standard AI tool security: while the server and its API connections were fully vetted, the data those APIs returned was not. Free-text fields like GitHub repo descriptions or DEV.to article titles are written by arbitrary users and flow directly into an AI agent's context window, indistinguishable from trusted instructions. This creates an opening for prompt injection, where adversarially crafted content could be mistaken by the agent for a legitimate directive. The author notes the risk is easy to overlook because it does not require any server compromise — a normal API response on a normal day could carry the malicious payload. The key takeaway is that the trust boundary must extend beyond the server and API channel to include the content of the data itself.

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