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Klarion

by 0x1Adiversion 0.4.3i★ –iRuns on your computer
Registry nameio.github.0x1Adi/klarion

Install

Overview

Description from the maker (original English)

Secret scanning for AI agents: rules and entropy find candidates, a model decides which are real.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: ANTHROPIC_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: ANTHROPIC_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

Fill in the empty values before running it.

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • ANTHROPIC_API_KEY secret env
    Optional. With a key Klarion adjudicates candidates itself; without one it hands them to the calling agent to judge.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account 0x1Adi, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 18431 servers in this category
  • Published to the registry more recently than 48% of the other 18431 servers in this category
  • Basic checks equal to or better than 100% of the other 18431 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 Klarion safe?

It passed 1 of 1 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?

You need to fill in: ANTHROPIC_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.4.3) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Tethered Trust

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 3 days ago
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Tethered Trust

by tetheredtrust.com

Fit, compatibility and recall checks for AI agents before they buy: verdicts, evidence, receipts.

Runs in the cloudUpdated today
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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.

Install · Use it · Results · How it works · Reference


Klarion finds secrets in your code: API keys, passwords and tokens.

It works in two steps:

  1. Find. Fast local checks flag anything that looks like a secret.
  2. Check. An AI model reads each one with the code around it and decides if it is real.

Pattern scanners stop at step 1, so they also flag test values, IDs and hashes. Klarion shows you the real leaks.

It runs where the leak happens

A Claude Code hook that blocks the write before the file exists. The agent cannot route around it, not through the file tools and not through Bash.

$ klarion scan .

services/billing/client.py [critical] stripe-secret-key 39:18 sk_l**4bQx verdict: secret (confidence 0.96) | stripe.api_key = "sk_l**4bQx"

Summary: 1 finding(s) across 1 file(s), 198 suppressed [1204 files scanned in 612ms]

Install

macOS:

brew install 0x1Adi/tap/klarion

Anywhere else, with Go 1.25 or newer:

go install github.com/0x1Adi/Klarion/cmd/klarion@latest

Or download a binary from the releases page.

Klarion needs an AI model. Pick one:

ModelSetup
Anthropic (default)export ANTHROPIC_API_KEY=...
OpenAI or compatibleexport OPENAI_API_KEY=... and set provider = "openai"
Local model, nothing leaves your machineRun Ollama and set provider = "ollama"
Your Claude Code loginSet provider = "claude-cli"

Settings go in .klarion.toml under [ai]. All options are in the reference.

Use it

What you wantHow
Scan a folderklarion scan .
Block commits that add a secretklarion protect
Block commits with the pre-commit frameworkThe .pre-commit-config.yaml below
Stop Claude Code from writing a secret/plugin marketplace add 0x1Adi/Klarion, /plugin install klarion@klarion, then restart Claude Code
Stop Cline, Cursor or any MCP agent from writing a secretThe MCP server below
Fail pull requests that add a secretThe GitHub Action below
Start on a repo that already has findingsklarion baseline create, so only new secrets fail
# .github/workflows/secrets.yml

name: secret-scan on: [push, pull_request]

jobs: klarion: runs-on: ubuntu-latest permissions: contents: read security-events: write steps:

  • uses: actions/checkout@v6 with: fetch-depth: 0
  • uses: 0x1Adi/Klarion@v0.4.3 with: anthropic-api-key: ${{ secrets.ANTHROPIC_API_KEY }}

On a pull request it scans only what the PR adds. It caches the AI answers, so unchanged code costs nothing. Findings show in the job log. On a private repo without GitHub Code Security, add upload-sarif: "false" to skip the Security tab upload. GitLab CI and every option are in the reference.

# .pre-commit-config.yaml

repos:

  • repo: https://github.com/0x1Adi/Klarion rev: v0.4.3 hooks:
  • id: klarion stages: [pre-commit]

Without the stages line the hook is off and runs only when you ask for it, with pre-commit run --hook-stage manual klarion. The klarion hook builds Klarion with Go the first time it runs; use id: klarion-system if klarion is already installed. Everyone who commits needs a model set up.

// ~/.cline/mcp.json, or the MCP settings of any other client

{ "mcpServers": { "klarion": { "command": "klarion", "args": ["mcp"] } } }

The agent calls scan_text before it writes code and scan_file before it commits. Approve each call rather than auto-approving the server: scan_file reads any path it is given. With no model configured the server hands each candidate and its decision rules to that agent to judge, so it needs no API key. Configure one and Klarion judges instead. Full steps, including the tools and how to verify the install: llms-install.md.

Results

Klarion found about 1.7× more real secrets than gitleaks, and 89% of its alerts were real (gitleaks: 91%).

We tested Klarion v0.3.0 on CredData: 337 real open source repos where Samsung labeled the lines that hold secrets. These numbers cover code outside test folders.

Klariongitleaksdetect-secrets
Real secrets found35%21%35%
Alerts that were real89%91%34%
False alarms on flask and rails933247

Good to know:

  • Klarion skips test fixtures and docs examples on purpose. CredData counts those as real. Counted that way, Klarion found 9% and gitleaks 46%.
  • Klarion's numbers come from a sample of 612 AI checks with one model (Claude Haiku). The likely range is 30 to 40% found and 82 to 97% real.
  • CredData's labels came from what other scanners found, which helps those scanners.

Full method and data: benchmark/REPORT.md.

How it works

  • Step 1 runs on your machine. It looks for known key formats, password = value style lines, credential files like .pgpass, and secrets hidden in base64 or hex. It also checks how random a string looks.
  • Step 2 asks the model. Each candidate goes out with a few lines of code. The model answers secret, false positive or uncertain. Uncertain counts as a secret.
  • You can see what was hidden. Run klarion scan . --show-suppressed.
  • Your code goes only to the model you pick. Set send_secret = false to send a masked value instead. It is less accurate.

Limits

  • It needs a model. Without one, klarion scan and the commit hooks stop with an error. The Claude Code hook still blocks provider keys such as AWS, GitHub and Stripe, and the MCP server hands the candidates and its rules to your agent to judge.
  • No API key? A hosted judge with no setup is coming. Join the list.
  • The model can be wrong. Check what it hid with --show-suppressed.
  • It finds secrets, it does not fix them. Rotate any secret it finds.
  • Local hooks can be skipped with git commit --no-verify. Run Klarion in CI too, with the Action. The pre-commit hook checks staged changes only, so in CI it has nothing to check.

More

Reference · Benchmark · Design · Changelog · Contributing · Security

MIT © The Klarion Authors

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