Browser Use
Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.
Computer or cloud✓ service owner · browser-use.com
DEEPBOM
What it does
Browser-local and CLI static evidence for deployed AI model artifacts.
- Connects Computer or cloud
- Account or key No key needed
- Category Web & browsers
Install
Pick the AI app you use, then copy the settings.
Passed 5/5 checks · What you ask goes through the maker’s server (deepbom.org) · ✓ Commands checked Nov 13, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude · about 2 min
No key, nothing to install · Set it up once on claude.ai or the desktop app, then use it in chat · free accounts can add 1 · on Team/Enterprise an Owner adds it
Open Claude’s Connectors page
CustomizeConnectors
Click “Add” → “Custom” → “Web” and fill in these 2 fields
Copy each value into the field with the same name in Claude, then click Continue
Name · NameDEEPBOMRemote MCP server URL · Addresshttps://deepbom.org/mcpClick Continue past the sign-in settings Claude detected · under Authentication choose what the maker says (Sign in now, Sign in when needed or No sign in), then click Add
Turn it on in a chat
+ConnectorsDEEPBOM
Try it
Use DEEPBOM and tell me what you can do for me, then show me one thing✓ If Claude says it is using DEEPBOM or shows a DEEPBOM tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with ChatGPT, depending on your plan
Full MCP: ChatGPT Business, Enterprise or Edu on the web · Pro: connects with read/fetch permissions, so tools that change data may not work · Plus: not confirmed in OpenAI’s docs; if you see an add-custom-MCP option on the Plugins page you can try these steps · web only
Open ChatGPT’s add-MCP page on the web
Plugins+Add custom MCP server
Fill in the name and address
Enter a name, paste the address under Connection, tick the risk warning and click Create as a plugin
Name · NameDEEPBOMConnection · Addresshttps://deepbom.org/mcpPick DEEPBOM in a chat
Start a new chat and pick DEEPBOM from your plugins before typing
Try it
Use DEEPBOM and tell me what you can do for me, then show me one thing✓ If ChatGPT says it is using DEEPBOM or shows a DEEPBOM tool in the answer, you are connected
Menu names checked against OpenAI’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Claude Code · about 2 min
No key, nothing to install
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Paste this command and press Enter
claude mcp add --transport http --scope user deepbom https://deepbom.org/mcpType /mcp in Claude Code
You should see DEEPBOM listed as connected
Try it
Use DEEPBOM and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using DEEPBOM or shows a DEEPBOM tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor · about 2 min
No key, nothing to install
Open the AI chat in Cursor in Agent mode
Try it
Use DEEPBOM and tell me what you can do for me, then show me one thing✓ If Cursor says it is using DEEPBOM or shows a DEEPBOM tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code · about 2 min
No key, nothing to install
Open the AI chat in VS Code in Agent mode
Try it
Use DEEPBOM and tell me what you can do for me, then show me one thing✓ If VS Code says it is using DEEPBOM or shows a DEEPBOM tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
Address for apps that connect over the web
Address
https://deepbom.org/mcpJSON settings are under “For developers” below
For developers: Terminal commands and JSON settings
Over the web
Claude Code
claude mcp add --transport http --scope user deepbom https://deepbom.org/mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"deepbom": {
"url": "https://deepbom.org/mcp"
}
}
}VS Code (mcp.json)
{
"servers": {
"deepbom": {
"type": "http",
"url": "https://deepbom.org/mcp"
}
}
}Installed on your computer
Claude Code
claude mcp add --scope user deepbom -- npx -y deepbom mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"deepbom": {
"command": "npx",
"args": [
"-y",
"deepbom",
"mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"deepbom": {
"command": "npx",
"args": [
"-y",
"deepbom",
"mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"deepbom": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"deepbom",
"mcp"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
At a glance
- Downloads per weeki
- 116/wk
- Connection
- Computer or cloud
- Latest versioni
- 2.5.0
- Categoryi
- Web & browsers
- Published to registryi
- Oct 20, 2026
- Code last changedi
- Oct 23, 2026
- Maker
- JunHwan-Kwon
- Packages
npm: deepbom- Website
- deepbom.org
- Registry status
- Active
Which apps can use it
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Connect over the internet in
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Related guides
What it can do
Tool names and descriptions exactly as the server reported them on Nov 13, 2026. The maker wrote them, not us; we show them as plain text.
deepbom_analyze_fileUse 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 determi
deepbom_capabilitiesUse 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_analysisReceives 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_errorReceives one bounded browser-produced DEEPBOM error and returns a recovery action to the conversation. This tool accepts diagnostic text, never model bytes.
deepbom_query_fileUse 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 e
deepbom_publish_queryComponent-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_workflow_guideUse 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
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 14, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account JunHwan-Kwon, which owns the repo
- ✓ Pass
Still maintained
Code last changed 22 days ago
- ✓ Pass
Has a licence
Uses Apache-2.0
- ✓ Pass
- – Not applicable
Sign-in with OAuth
No sign-in needed
- ✓ Pass
No hidden instructions in tool descriptions
Read 7 tool descriptions and found no hidden instructions to the AI
Discussion
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
No posts yet. Be the first to ask or share.
Posts here are written by users, not the PopNx team.
User reviews
No reviews yet
Compared with others in Web & browsersi
- More stars than 84% of the other 1510 servers in this category
- Published to the registry more recently than 55% of the other 1510 servers in this category
- Basic checks equal to or better than 100% of the other 1510 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is DEEPBOM safe?
It passed 5 of 5 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
Either way works: install it on your computer or connect to the cloud version.
Is it still maintained?
The GitHub repo last changed 22 days ago, and the latest version (2.5.0) reached the registry 25 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT on the web (full MCP on Business and above; Pro read-only).
What can I use instead?
In the same category: Browser Use, Scrapling MCP Server, Chrome DevTools MCP
Others in the same category
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Scrapling MCP Server
Web scraping with stealth HTTP, real browsers, and Cloudflare bypass. CSS selectors supported.
Runs on your computer
Chrome DevTools MCP
Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.
Runs on your computer
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
Evidence IR
DEEPBOM Evidence IR is the common representation family: Artifact IR, Model IR, optional Weight IR, Activation IR, Training IR, Snapshot IR and Provenance IR. The draft specification includes a generated schema catalog, compatibility checks and public maintenance rules.
Search input → IR → output mappings or inspect the same versioned catalog on GitHub. It is a DEEPBOM-maintained specification, not an endorsed external standard. The artifact metadata route retains deepbom.provenance_ir.v1 and its provenance_ir selector. The additive Snapshot workflow uses typed deepbom.provenance_ir.v2 references for native states, dataset releases and configurations. Existing document hashes are preserved; retired names remain unsupported. See the migration rules.
For model-change reviews, use the synthetic two-population example and browser evidence review. Web, CLI, Node/Python SDK and local MCP use the same checks. External measurements remain external evidence; criteria satisfaction does not establish clinical suitability.
Quick start
For export pipelines, experiment tracking and release checks, see the new Node/TypeScript and Python SDK contract and three executable integration examples. The supported SDK begins with DEEPBOM 2.1.0; earlier npm 2.0.0 packages do not include this entry point. Install it with npm install deepbom@2.5.0.
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@2.5.0 integrate codexnpx -y deepbom@2.5.0 integrate codex --apply npx -y deepbom@2.5.0 integrate claude-code npx -y deepbom@2.5.0 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 DEEPBOM_BIN, its package-bundled analyzer, and a deepbom already on PATH. It accepts a runtime only after the declared deepbom.agent_contract.v2 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@2.5.0 mcpIt exposes deepbom_capabilities, deepbom_audit, deepbom_diff, and deepbom_explain_rule 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 DEEPBOM_MCP_ALLOWED_ROOTS is configured. Agent-facing usage guidance is in the DEEPBOM skill. Claude Desktop users can instead install the version-matched deepbom-2.5.0.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.
For private testing on a Claude host that supports remote MCP Apps, add the separate https://deepbom.org/mcp/claude connector. It opens an explicit file picker inside the MCP App; it does not automatically read Claude attachments. The selected bytes remain in the browser sandbox while a bounded result is returned to the conversation. Public Claude discovery remains subject to Anthropic review. See the Claude integration guide and use the local MCPB or CLI when derived model facts must also remain local.
The repository root is also a portable Agent Plugins package: plugin.json identifies the Skill and mcp.json declares the bounded ChatGPT attachment endpoint. The compatibility manifest under .codex-plugin/ carries the same identity for clients that have not moved to the portable format. These files prepare installation and review; they do not imply a public directory listing or platform approval.
Account-owned ChatGPT, Claude, Codex, and search-indexing steps are kept in the agent distribution operations checklist.
For code-first model development, start with the Python candidate loop. It uses the shipped native APIs and distinguishes trainable-model workflows from the browser Structure IDE's source-bound graph proposals.
Verified 2.4.0 release channels expose the same analysis implementation. npm and the Linux x86-64 release wheel below are published; other native platforms and registry channels require their own release verification.
npx deepbom@2.5.0 audit model.onnx --format cyclonedxnpx deepbom@2.5.0 audit model.onnx --format sarif --output deepbom.sarif --gate defects deepbom capabilities --compact deepbom self-test deepbom audit model.onnx --list-sections --compact deepbom audit model.onnx --section quantization,memory --compact deepbom explain-rule onnx.conv.output-shape python -m pip install 'deepbom @ https://github.com/JunHwan-Kwon/deepbom/releases/download/channels-v2.4.0/deepbom-2.4.0-py3-none-linux_x86_64.whl' deepbom audit model.gguf --compact deepbom verify model.tflite --contract production-interface.json deepbom verify model.onnx --bom supplied.cdx.json --render markdown deepbom contract capture model.onnx -o baseline.interface-contract.json deepbom diff baseline.gguf candidate.gguf --tensors --render markdown deepbom capabilities --format agent-text deepbom explore model.tflite deepbom placement model.tflite --profiles xnnpack_cpu,tflite_coreml_delegate,litert_qualcomm_qnn deepbom graph model.onnx --format json --output artifact-graph.json deepbom audit model.onnx --section model_ir --compact deepbom visualize model.onnx --view all --orientation portrait -o model-views.zip deepbom model-summary model.onnx --format table deepbom model-summary model.gguf --level storage --format markdown deepbom audit model.onnx --conversion-receipt conversion-receipt.json --format cyclonedx
The default is a terminal-sized evidence summary. --json and --compact expose complete format evidence; --format envelope provides the canonical cross-format contract; CycloneDX 1.7 and OASIS SARIF 2.1.0 are standard projections. --policy-output records a hash-bound gate result when --fail-on is selected. --review-policy adds identity-scoped, expiring exceptions and keeps execution, coverage, and finding-policy states independent. See docs/CLI_AUTOMATION.md. The complete option inventory is generated from the executable in docs/CLI_REFERENCE.md.
CycloneDX 1.7 consumers should read the analyzed model from metadata.component and additional inventory members from components[]. DEEPBOM does not duplicate the BOM root into the additional-components array.
The graph JSON output includes the evidence-preserving deepbom.artifact_ir.v2 ledger and a deterministic deepbom.graph_ir.v1 visualization compatibility projection. Serialized graph, storage topology, architecture grouping, scoped quantization, static placement, and imported runtime evidence remain separate. Method 2.2.0 also preserves an optional, output-bound conversion receipt without promoting declared converter execution to observed evidence. It materializes exactly decoded TFLite subgraphs, ONNX nested graphs/local functions, and ExecuTorch primary plans without flattening conditional scopes. Runtime-node fusion is reconciled only from artifact-bound subject references or primary native op indices; names are never guessed. graph_ir.v1 remains primary-scope-only for legacy consumers. The v2 JSON Schema is published at docs/schemas/deepbom-artifact-ir-v2.schema.json and at https://deepbom.org/schemas/deepbom-artifact-ir-v2.schema.json. The conversion receipt schema is published at docs/schemas/deepbom-conversion-receipt-v1.schema.json.
The additive preview deepbom.model_ir.v1 projects those frozen artifact facts into a format-neutral program, logical-value, storage, binding, quantization, architecture, and static/runtime evidence vocabulary. It preserves source, dependency, deterministic display, and observed runtime order as different fields. visualize consumes only this IR and creates deterministic monochrome ISO A4 SVG pages, 300-DPI black-and-white PNG derivatives, caption sidecars, and a Word insertion manifest. These are traceable engineering documents, not standard-conformance or regulatory-approval determinations. See docs/MODEL_IR_V1.md.
model-summary is the shared Keras-summary-like projection for every supported adapter. It emits operation rows when a serialized program exists, storage rows for graphless weight containers, and an explicit identity-only result for safe envelopes. It never relabels serialized constants as trainable parameters or a deterministic display order as observed runtime. JSON consumers can use deepbom.model_summary.v1, published in docs/schemas/deepbom-model-summary-v1.schema.json.
Public product output uses CycloneDX 1.7.
verify compares the serialized external tensor ABI with a supplied, artifact-bound production declaration. diff