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Developer highlights retry bug in Anthropic's MCP Tasks

A developer encountered an issue with Anthropic's new MCP Tasks support, where a lost acknowledgement after a successful job submission could lead to duplicate job records upon retry. The problem arises because the client loses certainty about the job's status if the acknowledgement vanishes. To mitigate this, the developer suggests using an application-level idempotency key, a pattern described by AWS's Builders' Library, to ensure that retries correctly identify and reuse the original task ID rather than creating a new one. AI

IMPACT Highlights a potential client-side issue with Anthropic's new Tasks and Elicitations feature, emphasizing the need for robust error handling and idempotency.

RANK_REASON Developer blog post discussing a specific implementation detail and potential bug with a new feature from a major AI provider.

Read on dev.to — MCP tag →

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

Developer highlights retry bug in Anthropic's MCP Tasks

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17 / 100
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Developer blog post discussing a specific implementation detail and potential bug with a new feature from a major AI provider.
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product, infra
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COVERAGE [1]

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

    MCP Tasks: the retry bug hiding behind a successful job

    <p>The export was accepted. Its acknowledgement vanished. The client tried again.</p> <p>That is the failure I simulated while looking at Claude’s new <strong>MCP Tasks</strong> support. A naive retry produced two job records. A retry with a saved request key returned the origina…