Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Secret scanning for AI agents: rules and entropy find candidates, a model decides which are real.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
ANTHROPIC_API_KEYValues 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.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account 0x1Adi, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: ANTHROPIC_API_KEY
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).
The GitHub repo last changed –, and the latest version (0.4.3) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Tethered Trust
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Fit, compatibility and recall checks for AI agents before they buy: verdicts, evidence, receipts.
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:
Pattern scanners stop at step 1, so they also flag test values, IDs and hashes. Klarion shows you the real leaks.
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]
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:
| Model | Setup |
|---|---|
| Anthropic (default) | export ANTHROPIC_API_KEY=... |
| OpenAI or compatible | export OPENAI_API_KEY=... and set provider = "openai" |
| Local model, nothing leaves your machine | Run Ollama and set provider = "ollama" |
| Your Claude Code login | Set provider = "claude-cli" |
Settings go in .klarion.toml under [ai]. All options are in the reference.
| What you want | How |
|---|---|
| Scan a folder | klarion scan . |
| Block commits that add a secret | klarion protect |
| Block commits with the pre-commit framework | The .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 secret | The MCP server below |
| Fail pull requests that add a secret | The GitHub Action below |
| Start on a repo that already has findings | klarion 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:
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:
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.
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.
| Klarion | gitleaks | detect-secrets | |
|---|---|---|---|
| Real secrets found | 35% | 21% | 35% |
| Alerts that were real | 89% | 91% | 34% |
| False alarms on flask and rails | 9 | 33 | 247 |
Good to know:
Full method and data: benchmark/REPORT.md.
password = value style lines, credential files like .pgpass, and secrets hidden in base64 or hex. It also checks how random a string looks.klarion scan . --show-suppressed.send_secret = false to send a masked value instead. It is less accurate.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.--show-suppressed.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.Reference · Benchmark · Design · Changelog · Contributing · Security
MIT © The Klarion Authors