Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Scans AI-generated code for invisible Unicode, Trojan Source, and supply-chain threats.
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.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"codesafer": {
"command": "npx",
"args": [
"-y",
"cleaner-code"
]
}
}
}Run this in your terminal
claude mcp add codesafer -- npx -y cleaner-codePaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"codesafer": {
"command": "npx",
"args": [
"-y",
"cleaner-code"
]
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"codesafer": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"cleaner-code"
]
}
}
}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.
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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 6, 2026
The registry name was verified with the GitHub account goldmembrane, 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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 (1.0.1) reached the registry 7 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Apify MCP Server
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.
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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.
AI code security scanner as a Model Context Protocol (MCP) server.
Detects hidden threats in AI-generated code that traditional linters miss.
Website: codesafer.org · MCP Clients: Claude Code, Cursor, VS Code + Copilot, Cline
AI coding assistants generate code fast — but who's checking it for hidden threats?
Recent supply-chain attacks show that malicious code can hide in ways human reviewers and traditional linters routinely miss:
.cursorrules, CLAUDE.md, and other AI config filespackage.jsoneval + base64, reverse shells, packed payloadsCodeSafer scans for all of these before the code runs on your machine.
CodeSafer runs as a local MCP server. Your AI client (Claude Code, Cursor, etc.) calls its tools when reviewing or generating code, and findings are returned inline.
Hybrid detection:
Nothing leaves your machine. The AI analysis runs locally against a tokenizer server.
| Capability | Details |
|---|---|
| Invisible character detection | 30+ Unicode variants including Zero-Width Space, Mongolian Vowel Separator |
| BiDi / Trojan Source | Full CVE-2021-42574 coverage |
| Homoglyph detection | Cyrillic/Greek/Latin confusables (CVE-2021-42694) |
| Unicode steganography | Glassworm-style whitespace payloads |
| Rules file backdoors | Scans .cursorrules, CLAUDE.md, .claude/, Cursor rules |
| Dependency scanning | Typosquatting + suspicious install scripts in package.json |
| Obfuscation detection | eval + base64, reverse shells, packed payloads |
| AI deep analysis | CodeBERT transformer classifier with confidence scores |
| MCP native | 6 MCP tools, stdio transport |
| Local-first | No code uploaded — runs entirely on your machine |
CodeSafer exposes six tools to your MCP client:
| Tool | Purpose |
|---|---|
scan_file | Scan a single file for hidden malicious code patterns |
scan_directory | Recursively scan a directory across all source files |
scan_rules_file | Scan an AI configuration/rules file for prompt injection and Rules File Backdoor attacks |
check_dependencies | Check package.json for typosquatting, suspicious install scripts, and dependency risks |
ai_analyze | Deep AI analysis using the trained CodeBERT model (classifies chunks as malicious/benign with confidence) |
explain_finding | Get detailed explanation of a specific threat category, with attack scenarios and remediation |
git clone https://github.com/goldmembrane/cleaner-code.git
cd cleaner-code npm install npm run build
Claude Code (~/.claude.json or project .mcp.json):
{
"mcpServers": { "codesafer": { "command": "node", "args": ["/absolute/path/to/cleaner-code/dist/index.js"] } } }
Cursor (.cursor/mcp.json):
{
"mcpServers": { "codesafer": { "command": "node", "args": ["/absolute/path/to/cleaner-code/dist/index.js"] } } }
Restart your client, and CodeSafer tools will appear in the tool picker.
Once configured, ask your AI client things like:
.cursorrules for a rules-file backdoor."*src/auth.ts."*The client will call the appropriate MCP tool and return findings with severity, line numbers, and remediation guidance.
CodeSafer is free to use. Static analysis (scan_file, scan_directory, scan_rules_file, check_dependencies, explain_finding) has no limits.
AI deep analysis (ai_analyze) includes 10 free runs per session. Paid plans for higher AI quotas are available at codesafer.org.
CodeSafer detects threats across 9 categories:
.cursorrules, CLAUDE.md, etc.eval + base64, packed payloads, reverse shellscleaner-code/
├── src/ │ ├── index.ts # MCP server entry point │ ├── api-server.ts # Optional HTTP API server │ ├── types.ts # Scanner interfaces │ ├── utils.ts # File collection, summary formatting │ └── scanner/ │ ├── invisible.ts # Invisible Unicode scanner │ ├── bidi.ts # BiDi / Trojan Source scanner │ ├── homoglyph.ts # Homoglyph scanner │ ├── encoding.ts # Encoding / charset scanner │ ├── obfuscation.ts # Obfuscation pattern scanner │ ├── steganography.ts # Unicode steganography scanner │ ├── rules-backdoor.ts # Rules file backdoor scanner │ ├── dependency.ts # Dependency risk scanner │ └── ai-analyzer.ts # CodeBERT deep analyzer ├── ml/ # ML model assets and tokenizer ├── functions/ # Cloud function deployments ├── deploy/ # Deployment manifests └── web/ # Landing page assets
ISC — see the LICENSE file for details.