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Developer patches MCP server vulnerability allowing AI model to bypass user approval

A developer has identified a security vulnerability in their personal MCP server project, mcp-rest-bridge, which acts as an intermediary for a store's REST API. The issue lies in how the server handles write operations, specifically `adjust_stock` and `create_order`, where the model's confirmation flag (`confirm: true`) could be set without explicit user approval. This bypasses a dry-run mechanism intended to prevent unintended changes. To address this, the developer implemented an elicitation feature using the MCP's `elicitInput` functionality, which now prompts the user for explicit approval before applying any changes, thereby enhancing the security of write operations. AI

IMPACT Enhances security for AI-driven tools by ensuring explicit user approval for critical actions.

RANK_REASON Developer implements a fix for a specific software tool they created.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer patches MCP server vulnerability allowing AI model to bypass user approval

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48 / 100
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Tool
Developer implements a fix for a specific software tool they created.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, safety
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Sunnatulla ·

    My MCP server's confirm: true flag was written by the model. So I moved the approval to the user.

    <p><em>AI note: the code change and this post were written with an AI agent. Every test and output quoted here was re-run before posting.</em></p> <p>I have a small MCP server (<a href="https://github.com/atokim4/mcp-rest-bridge" rel="noopener noreferrer">mcp-rest-bridge</a>, a p…