codebadger — security grade SAFE, quality 63/100

Security audit verdict: SAFE · quality 63/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by qcri · MCP Server · ★ 162

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is codebadger safe to install? View the security audit →

About codebadger

🦡 codebadger codebadger is a containerized Model Context Protocol (MCP) server that gives AI agents and LLMs deep, queryable access to a codebase's structure and data flow through Joern Code Property Graphs (CPGs). Point it at a Git repository, a local path, or even a pasted code snippet, and codebadger builds a CPG and exposes it over MCP — so an assistant can run CPGQL queries, trace data flow and taint, slice programs, and hunt for vulnerabilities across Java, C/C++, JavaScript, Python, Go, Kotlin, C#, Ghidra, Jimple, PHP, Ruby, and Swift. It's a general-purpose foundation for both program analysis (understanding code structure, call graphs, and data flow) and vulnerability analysis (taint tracking, bug hunting, and PoC development) — useful for academic research as well as industry security and engineering work. It's built to scale to large analysis batches with per-CPG worker pools, memory-aware scheduling, and a Postgres/Redis backend. News codebadger and its paper - Bridging Code Property Graphs and Language Models for Program Analysis - were accepted at the Software Vulnerability Management Workshop @ ICSE 2026.

agent-skillsagentic-workflowagentsjoernmcp-serverprogram-analysisstatic-analysistaint-analysis

Quick Facts

Stars162
Forks19
LanguagePython
CategoryMCP Server
LicenseGPL-3.0
Quality Score62.7714223079922/100
Last Updated2026-08-31
Created2025-10-01
Platformsmcp, python
Est. Tokens~14k

Compatible Skills

These tools work well together with codebadger for enhanced workflows:

  • codebadger — semantic(1.00)+rare_topics+same_lang+similar_pop+shared_platform (73%)
  • ConcoLLMic — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)

codebadger alternative? Top 6 similar tools

Looking for a codebadger alternative? If you're comparing codebadger with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • codebadger by Lekssays · ⭐ 158

    🦡 codebadger is a containerized Model Context Protocol (MCP) server that gives AI agents and LLMs deep, query

  • concierge by concierge-hq · ⭐ 531

    🚀 Universal SDK for building next-gen MCP servers

  • opentaint by seqra · ⭐ 160

    The open source taint analysis engine for the AI era. A formal dataflow analysis tool you can customize and se

  • comfyui-mcp by artokun · ⭐ 778

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  • claude-code-tresor by alirezarezvani · ⭐ 776

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  • sonarqube-mcp-server by SonarSource · ⭐ 654

    Official SonarQube MCP Server for code quality and security in AI agents

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Frequently Asked Questions

What is codebadger?

codebadger is 🦡 codebadger is a containerized Model Context Protocol (MCP) server that gives AI agents and LLMs deep, queryable access to a codebase's structure and data flow through Joern Code Property Graphs (CP. It is categorized as a MCP Server with 162 GitHub stars.

What programming language is codebadger written in?

codebadger is primarily written in Python. It covers topics such as agent-skills, agentic-workflow, agents.

How do I install or use codebadger?

You can find installation instructions and usage details in the codebadger GitHub repository at github.com/qcri/codebadger. The project has 162 stars and 19 forks, indicating an active community.

What license does codebadger use?

codebadger is released under the GPL-3.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to codebadger?

The top alternatives to codebadger on Agent Skills Hub include codebadger, concierge, opentaint. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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