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New JSON recovery tool refuses to invent data for LLM errors

A new tool called jsonshim-mcp has been released to address the challenge of recovering malformed JSON outputs from language models. Unlike other libraries, jsonshim-mcp invents no values for unrecoverable JSON and refuses to guess in 55 instances where it could have salvaged data. It achieves a 72.7% exact match rate on a corpus of 300 synthesized malformed JSON strings, outperforming libraries like json.loads and json-repair in specific scenarios. AI

IMPACT Provides a more reliable method for parsing LLM outputs, reducing errors in data pipelines that rely on structured JSON.

RANK_REASON The item describes the release of a new software tool for JSON recovery.

Read on dev.to — MCP tag →

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

New JSON recovery tool refuses to invent data for LLM errors

COVERAGE [1]

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

    An MCP JSON-recovery tool that invents 0 of 25 unrecoverable LLM outputs — and refuses 55 it could fix

    <p>When a model is asked for JSON and returns prose, fences, or a half-cut object, most repair libraries pick <em>something</em> and hand it back. On the 25 cases in <a href="https://toolkitlabs.org/malformed300/?s=devto-mcp0invent" rel="noopener noreferrer">MALFORMED-300</a> whe…