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Umbra logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 7:48:54 PM

Umbra

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

Trust score for AI-generated code: scan repos, guard agent file writes, get a 0-100 score.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "umbra": {
      "command": "npx",
      "args": [
        "-y",
        "@elberacasa/umbra"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Umbra: the trust score for AI-generated code

Everyone is vibecoding. Nobody is verifying. Umbra scores it.

Umbra is a deterministic Trust Score (0–100) for AI-generated code: the vibe coding security scanner that verifies what your agent shipped, not what it claimed. One command, fully local, evidence for every finding.

β†’ umbra-badge.umbrabadge.workers.dev β€” the landing, live badges and report pages

npm version npm downloads GitHub stars website: live Glama MCP score MCP registry: listed license: MIT CI rubric v4 node >=20

Quickstart Β· Demo Β· The Audit Β· How it works Β· The Four Axes Β· FAQ Β· Roadmap Β· Contributing Β· Website

Umbra scanning a vibe-coded app: Trust Score 30/100

Why Umbra exists

Studies put exploitable vulnerabilities in 40 to 60 percent of AI-generated code, and coding agents routinely claim "all tests pass" when three do. The tooling for writing code with AI is a year ahead of the tooling for trusting it. Umbra closes that gap: SAST rebuilt for how software gets written now, plus sandboxed verification that catches what static rules cannot.

One command scans any repo an agent produced (Claude Code, Cursor, Copilot, Windsurf, Lovable) and returns a score with file:line evidence for every finding. With --deep it goes further: Umbra builds and boots the repo in a locked-down Docker sandbox, then replays the agent's own claims against reality. If the agent is lying about tests, the score is capped below passing, with receipts.

The audit: 61 vibe-coded repos, scanned

We ran Umbra over 61 public, actively-maintained AI-built repos and published everything. The Vibe-Coding Security Audit:

FindingRepos hit
Hardcoded-secret findings (committed .env, service keys in source)25%
API routes with no auth check26%
Injection sinks (SQL interpolation, unsafe HTML injection)49%
Entire databases / SQL dumps committed to git13%
At least one critical finding10%
Zero scored findings (genuinely clean)7 of 61

Mean trust score: 74/100. One in five repos fails outright. The full report has per-class deep dives with representative snippets and fixes, the complete per-repo table, and an honest methodology section β€” including the false positives we found in our own rules while running it, and fixed (rubric v4).

Quickstart

Terminal
npx umbra-scan            # check β€” scans the directory you're standing in
npx umbra-scan --fix      # heal β€” applies provably-safe fixes, shows the score climbing
npx umbra-scan --setup    # protect β€” pre-commit gate, PR checks, agent guardrails

That's the whole interface. Three verbs: check, heal, protect.

Using an AI coding agent? Umbra is built to be driven by agents, not just run by humans:

  • Any agent β€” it reads this repo's AGENTS.md / llms.txt and knows what to do. Or tell yours: "check this repo with umbra."
  • Claude Code / Kimi Code β€” --setup installs PreToolUse hooks so every file the agent writes is guarded before it lands.
  • Claude Code, Cursor, Copilot, Windsurf β€” the trust-review skill makes the agent scan its own work before declaring done.
  • MCP-native agents β€” add umbra-mcp (npx --yes -p @elberacasa/umbra umbra-mcp) and the agent gets scan_repo, guard_content, and get_score as tools.

Real output, scanning a typical vibe-coded Next.js app (fixtures/bad-app in this repo, Trust Score 30/100):

Code
$ npx umbra-scan ./fixtures/bad-app

UMBRA TRUST SCORE: 30/100  πŸ”΄

SAFE   πŸ”΄ 5/100 β€” 14 findings
CLEAN  βœ… 87/100 β€” 10 findings
RUNS   β€” not measured β€” run with --deep
HONEST β€” not measured β€” run with --deep

Score computed over measured axes only (full rubric: SAFE 35%, RUNS 25%, HONEST 25%, CLEAN 15%). Rubric v4.
…plus 7 further findings beyond the per-rule cap (see report)

Top findings:
  [safe/hardcoded-secrets] Hardcoded Supabase service_role JWT β€” bypasses all row level security β€” .env:2
  [safe/hardcoded-secrets] Hardcoded Supabase service_role JWT β€” bypasses all row level security β€” lib/supabase.ts:5
  [safe/supabase-antipatterns] Supabase service_role key reachable from client-side code β€” full database bypass for anyone who opens the bundle β€” .env:2
  [safe/supabase-antipatterns] Supabase service_role key reachable from client-side code β€” full database bypass for anyone who opens the bundle β€” app/components/UserList.tsx:10
  [safe/hardcoded-secrets] Committed environment file with secret values: .env β€” .env:1

Notes (low confidence β€” not scored):
  [safe/missing-rate-limit] Auth endpoint with no rate-limiting signal in the repo β€” brute-force / credential-stuffing exposure (heuristic) β€” app/api/login/route.ts:3

Badge: [![Umbra Trust Score](https://img.shields.io/badge/Umbra_Trust_Score-30-red)](https://github.com/elberacasa/umbra)

The exit code is 1 when the score is below 50, so CI can gate on it.

All commands and flags (the expert layer β€” most users never need these)
bash
umbra [path]               # path defaults to the current directory
umbra [path] --json        # machine-readable output
umbra [path] --offline     # skip npm registry checks, fully local
umbra [path] --deep        # verify RUNS and HONEST in a Docker sandbox
umbra [path] --report      # write UMBRA.md: an agent-actionable task list
umbra [path] --fix         # apply provably-safe fixes and re-scan (score before β†’ after)
umbra [path] --dry-run     # preview --fix without writing anything
umbra [path] --baseline-write  # write .umbra-baseline.json: grandfather current findings, gate only on new ones
umbra [path] --baseline <path> # use an explicit baseline file ("write" is shorthand for --baseline-write)
umbra [path] --publish     # self-report the score to the hosted badge service (live README badge)
umbra setup                # install everything (hooks + Action + agent guards)
umbra init                 # only the pre-commit hook + GitHub Action
umbra protect              # only the agent PreToolUse hooks (--remove uninstalls)
umbra guard --stdin        # hook entrypoint (agents call this, not humans)
umbra mcp                  # run the MCP server (bin: umbra-mcp)

The canonical package is @elberacasa/umbra; umbra-scan is the short alias. Same engine either way.

How it works

Code
repo in
   β”‚
   β–Ό  Layer 0 Β· static rules (17 SAFE + CLEAN rules, 0 tokens, <1s)
   β–Ό  Layer 1 Β· evidence gating (confidence-scored, low never moves the score)
   β–Ό  Layer 2 Β· --deep sandbox (Docker: build, boot, HTTP probe, claim replay)
   β”‚
   β–Ό  deterministic Trust Score + verdict + badge

Every finding carries a confidence level and file:line evidence. Only high and medium confidence findings move the score; hunches go to a notes section. The rubric is versioned (currently v3), so the same repo always gets the same score. Full math in RUBRIC.md.

The immune layer: guard the write, not just the repo

Scanning finds problems after they land. The immune layer checks every file your agent writes before it lands. umbra protect installs PreToolUse hooks into Claude Code and Kimi Code (auto-detected, one command); the same engine backs the umbra-mcp server for MCP-native agents.

Umbra blocking an agent's attempt to write a live key into .env

mermaid
flowchart LR
    CC[Claude Code hook] --> E
    KC[Kimi Code hook] --> E
    MCP["umbra-mcp: guard_content"] --> E
    E{"guardContent(file, content)<br/>file rules + path guard"} -->|allow / warn| W[write lands]
    E -->|"block (exit 2)"| B["reason fed back:<br/>agent fixes the root cause"]
Terminal
npx umbra-scan protect   # install the hooks; --remove uninstalls cleanly

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about Umbra

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "umbra": { "command": "npx", "args": ["-y", "Umbra"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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36Quality signal: Fair Β· 36/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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