MCP.Market

DEEPBOM MCP server

online · 100% uptime
by JunHwan-Kwon·io.github.JunHwan-Kwon/deepbom·v2.5.0·2 stars

Browser-local and CLI static evidence for deployed AI model artifacts.

B84/100grade B
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B84/100

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Adoption
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2 stars566 downloads/wk

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DEEPBOM tools

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How DEEPBOM compares

Against every graded Scraping and browsing MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
84/100
higher than 63% of 866 Scraping and browsing servers
Uptime
100%
of our recent checks; the typical remote Scraping and browsing server answers 100%
Response time
69 ms
faster than 78% of 384 Scraping and browsing servers
GitHub stars
2
more than 65% of 583 Scraping and browsing servers
Downloads a week
566
more than 86% of 309 Scraping and browsing servers with a package

Release history: 7 versions in the registry since 2026-09-17, latest 2026-10-20, typically one every 6 days.

Install DEEPBOM in Claude Code, Cursor or VS Code

claude mcp add --transport http deepbom https://deepbom.org/mcp
Add to Cursor

What the publisher says

From the DEEPBOM repository's README, as published. We do not edit it. Read it on GitHub

DEEPBOM

DEEPBOM is a local static analyzer for deployed AI model artifacts. It audits serialized graph, tensor, quantization, memory, compatibility, and ML-BOM evidence without uploading model bytes.

It is a multi-format artifact-evidence producer, an external-interface contract verifier, and a bounded BOM-to-artifact reconciliation tool. It is not an official reference implementation, a complete BOM validator, or a regulatory compliance verifier.

The public source distribution covers TFLite, ONNX, GGUF, SafeTensors, Core ML, and bounded ExecuTorch artifacts. Findings distinguish observed and derived artifact facts from predicted compatibility, imported runtime evidence, and values that cannot be assessed statically.

Quick start

Run the published CLI without cloning the repository (Node.js 20 or newer):

npx deepbom audit "https://raw.githubusercontent.com/JunHwan-Kwon/deepbom/main/web/samples/gpu_partition_probe.onnx#sha256=82a2feef00eb6ab03d82f2b30cd17f4d826e2d8307cb059eccd6a0f3120059b2"

The pinned expected values and independent verifier are in examples/expected-output. Source builds require Rust and, for the Python channel, Python 3.9 or newer; maintainer setup is documented separately below.

Assistant integration

Install the repository-local Agent Skill after previewing the managed files:

npx -y deepbom@1.103.0 integrate codex
npx -y deepbom@1.103.0 integrate codex --apply
npx -y deepbom@1.103.0 integrate claude-code
npx -y deepbom@1.103.0 integrate claude-code --apply

The Skill lets a local agent select a contract-compatible analyzer for a supported deployment-artifact question. It does not create or call a hosted analysis server. See the agent setup guide, the machine-readable capability contract, and the independent engine/Agent/evidence version policy.

The installed Skill first checks DEEPBOMBIN, its package-bundled analyzer, and a deepbom already on PATH. It accepts a runtime only after the declared deepbom.agentcontract.v1 and evidence contract match and its self-test binds the exact observed engine version. The verifier does not contact npm unless --allow-download is explicitly supplied. This keeps a blocked registry lookup from being mistaken for a failed artifact analysis.

For persistent tool-call access, run the same local analyzer as an MCP server over stdio:

npx -y deepbom@1.103.0 mcp

It exposes deepbomcapabilities, deepbomaudit, deepbomdiff, and deepbomexplainrule without uploading artifact bytes or using a hosted analysis endpoint. Audit calls default to a bounded human summary; detailed formats and large-model scan depth are explicit. Local paths are restricted to the launch directory unless DEEPBOMMCPALLOWEDROOTS is configured. Agent-facing usage guidance is in the DEEPBOM skill. Claude Desktop users can instead install the version-matched deepbom-1.103.0.mcpb asset from the corresponding GitHub Release. The bundle contains the same CLI and WASM bytes as the npm channel and asks the user to select the only local directory it may read.

For a single attachment in ChatGPT, connect the separately bounded Streamable HTTP endpoint at https://deepbom.org/mcp. Its browser component performs the analysis in the ChatGPT sandbox and returns a bounded, hash-bound result; the DEEPBOM service does not fetch or retain model bytes. This path is ready for developer-mode review, while public ChatGPT discovery remains subject to OpenAI review. See the ChatGPT integration guide. Use the local CLI or stdio MCP for confidential or large artifacts, package and sidecar closure, complete exports, and repeated automation.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

DEEPBOM: common questions

Is DEEPBOM MCP server safe?
Mostly: it is graded B (84/100). Read the DEEPBOM safety report
How do I install DEEPBOM?
It runs remotely at deepbom.org. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does DEEPBOM need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is DEEPBOM maintained?
The last commit was 36 days ago (2026-09-29). The latest release is v2.5.0.
Is DEEPBOM up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of DEEPBOM?
Servers from other publishers that do the same job: Word to Markdown MCP server, Browsentic MCP server and GrowBlocks Dev Kit MCP server.
How does DEEPBOM compare with other Scraping and browsing MCP servers?
safety score 84/100 (higher than 63% of 866 Scraping and browsing servers); uptime 100% (of our recent checks; the typical remote Scraping and browsing server answers 100%); response time 69 ms (faster than 78% of 384 Scraping and browsing servers). Full comparison.

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