DEEPBOM runs on your own machine — the client starts it, so there is no endpoint to ping. 836 installs a week from npm. Last commit 10 Sep 2026.
Local static analysis and evidence generation for deployed AI model artifacts.
We read the source, 19 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
const child = spawn(process.execPath, [entry, ...argv], {
const candidates = [...new Set(roots.map((root) => path.join(root, filename)))];
completed = subprocess.run([str(engine), *sys.argv[1:]], check=False, env=environment)
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add deepbom -- npx -y deepbom
{
"mcpServers": {
"deepbom": {
"args": [
"-y",
"deepbom"
],
"command": "npx"
}
}
}
[mcp_servers.deepbom]
command = "npx"
args = ["-y", "deepbom"]
{
"mcpServers": {
"deepbom": {
"args": [
"-y",
"deepbom"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"deepbom": {
"args": [
"-y",
"deepbom"
],
"command": "npx"
}
}
}
Local structured analysis of deployed EVM runtime bytecode
Hosted MCP for creating, checking, deploying, and hosting static sites for AI agents.
Hosted MCP for creating, checking, deploying, and hosting static sites for AI agents.
Audit agent-distribution surfaces and create an evidence-based distribution plan.
List, read, edit, and deploy your GenMB AI-generated apps from any MCP client.
Cloud architecture and migration planning with costs, controls, evidence, and deployable IaC.
Real-world actions for AI coding agents: domains, email, deploys, payments, media, and SEO/GEO.
Canonical Agentry discovery for coding agents: analytics, errors, deploys, and automation.
Answers built from our own checks of this server.