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DEEPBOM

by FastDrop

MCP Verified yesterday Registry import free

Local static analysis and evidence generation for deployed AI model artifacts.

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Local static analysis and evidence generation for deployed AI model artifacts. Official MCP Registry: io.github.JunHwan-Kwon/deepbom@1.96.10. Package/stdio server - no remote endpoint to probe.

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Package server from the official registry (no remote probe).

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as io.github.JunHwan-Kwon/deepbom and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 9 Oct 2026. Not supplied by the maker.

  • deepbom_analyze_file

    Use when the user asks to inspect, summarize, or visualize an attached TFLite, ONNX, GGUF, SafeTensors, Core ML, or ExecuTorch deployment artifact. Opens a browser-local analyzer, returns a hash-bound

  • deepbom_capabilities

    Use before analysis when format support, privacy boundaries, or the difference between the ChatGPT and local DEEPBOM paths is unclear. Returns capability metadata only and does not inspect a file.

  • deepbom_publish_analysis

    Receives one bounded browser-produced DEEPBOM result, validates its structure, and returns it to the conversation. This tool accepts analysis results, never model bytes.

  • deepbom_publish_error

    Receives one bounded browser-produced DEEPBOM error and returns a recovery action to the conversation. This tool accepts diagnostic text, never model bytes.

  • deepbom_query_file

    Use for follow-up questions about an already identified attachment: inspect a layer by subject_ref, search or page through all operations, inspect findings, rank improvement investigations, inspect en

  • deepbom_publish_query

    Component-only: validates and returns a bounded Evidence IR query projection for the same attachment. No model bytes, state persistence, or runtime execution. Result digests establish consistency, not

  • deepbom_workflow_guide

    Use to discover how to answer a model-analysis question across ChatGPT, the interactive deepbom.org workspace and the local CLI. Returns real query sections, visualization/export actions, explicit web

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