harishsg993010/damn-vulnerable-MCP-server

MCPcommunity
harishsg993010UnknownUpdated 10mo agoGitHub

Damn Vulnerable MCP Server

A deliberately vulnerable implementation of the Model Context Protocol (MCP) for educational purposes. The Damn Vulnerable Model Context Protocol (DVMCP) is an educational project designed to demonstrate security vulnerabilities in MCP implementations. It contains 10 challenges of increasing difficulty that showcase different types of vulnerabilities and attack vectors. This project is intended…

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1kGitHub stars
157Forks
10mo agoLast update
Package
Authorharishsg993010
LicenseUnknown
Sourcegithub
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/30
→ Publisher: run `forge publish` from the repo to claim ownership
—Domain verification+0/10
→ Not currently available for this listing type — the domain-verification check only runs for npm-backed packages today, so this row cannot be earned here yet regardless of what's hosted at the domain.
✓Prompt-injection scan · clean+30/30
✓Obfuscation / exfil scan · clean+20/20
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StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ CleanvHEAD · 3mo agoHow well does this scan work?
EvalsNone
IndexedMay 24, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts.

Tools

No tool declarations found in the source3mo ago

Forge read 0 source files from the repository archive and matched no MCP tool registrations. Extraction is pattern-based over shipped source: a server that builds its tool list at runtime, or that ships only bundled or minified code, registers nothing this can see. Treat it as “not detected”, not as “exposes none”.

About

A deliberately vulnerable implementation of the Model Context Protocol (MCP) for educational purposes. The Damn Vulnerable Model Context Protocol (DVMCP) is an educational project designed to demonstrate security vulnerabilities in MCP implementations. It contains 10 challenges of increasing difficulty that showcase different types of vulnerabilities and attack vectors. This project is intended for security researchers, developers, and AI safety professionals to learn about potential security…

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