MCP server
DEEPBOM
io.github.JunHwan-Kwon/deepbom
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Browser-local and CLI static evidence for deployed AI model artifacts.
Working at last checkAbout 4,693 tokens per request once connected7 tools
https://deepbom.org/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 7
- Token cost
- About 4,693 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http deepbom https://deepbom.org/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.deepbom] url = "https://deepbom.org/mcp"
Gemini CLI
{"mcpServers":{"deepbom":{"httpUrl":"https://deepbom.org/mcp"}}}
Cursor
{"mcpServers":{"deepbom":{"url":"https://deepbom.org/mcp"}}}
VS Code
{"servers":{"deepbom":{"type":"http","url":"https://deepbom.org/mcp"}}}
Antigravity
agy mcp add deepbom https://deepbom.org/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"deepbom","server_url":"https://deepbom.org/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"deepbom","server_url":"https://deepbom.org/mcp"}
Tools
deepbom_analyze_file~334 tokens
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 format-neutral Model IR table and static evidence summary, and provides deterministic document viewdeepbom_capabilities~92 tokens
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_analysisSends messages · ~1611 tokens
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_errorSends messages · ~255 tokens
Receives one bounded browser-produced DEEPBOM error and returns a recovery action to the conversation. This tool accepts diagnostic text, never model bytes.deepbom_publish_querySends messages · ~1081 tokens
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 independent server attestation.deepbom_query_file~943 tokens
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 encoded activation fusion, compare source-pinned static delegate eligibility, or explicitly analyze wedeepbom_workflow_guide~377 tokens
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 continuation links, required inputs, CLI argument templates and evidence limits for weights, prunin
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