Serveur MCP codebadger
Commit 31 août 2026Lets an AI client build Joern Code Property Graphs from repositories and run CPGQL queries to trace data flow and find vulnerabilities.
Aussi connu sous qcri/codebadger
- Étoiles
- 181
- Outils
- —
- Téléchargements, 30 jours
- —
- Dernière version
- —
- Dernier commit
- 31 août 2026
- Licence
- GPL-3.0
Qu'est-ce que codebadger MCP ?
codebadger est un serveur MCP. Lets an AI client build Joern Code Property Graphs from repositories and run CPGQL queries to trace data flow and find vulnerabilities.
Résumé généré à partir du README du projet
Vérifications automatisées
Exécuté le 15 nov. 2026Rapport complet →Pas encore vérifié. Un serveur nécessite un score de 80, aucune faille sérieuse et suffisamment de données pour que nous puissions effectuer les vérifications. Fonctionnement des vérifications · Ce qu'il faut corriger pour gagner des points
- Dépôt source lié et accessibleqcri/codebadger is public and reachablegithub.com/qcri/codebadger ↗Réussi
- Le nom du package correspond au dépôt sourceNon vérifié
- Provenance du build (attestation Sigstore)Non vérifié
- Licence open source (OSI)GPL-3.0spdx.org/licenses/GPL-3.0.html ↗Réussi
- Commit ou version publiée au cours de l'année écouléeLast commit or release 2026-08-31github.com/qcri/codebadger ↗Réussi
- OpenSSF ScorecardNon vérifié
- Nom du package non proche d'un package populaireNon vérifié
- Aucun avis critique dans le package ou ses dépendancesNon vérifié
- Aucune instruction cachée destinée au modèle0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersRéussi
- Les outils destructifs sont étiquetésNon vérifié
- Le point de terminaison distant répond à la poignée de main MCPNon vérifié
README
Voir sur GitHub🦡 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. 🎉
Documentation
Everything a developer or security researcher needs lives in docs/:
| Doc | What's in it |
|---|---|
| Installation | Prerequisites and a 5-minute local setup. |
| Usage | Connecting MCP clients, the tool catalog, and a researcher workflow. |
| LLM workflow guide | Recommended bounded tool sequence for agents. |
| Available Tools | Every MCP tool by category, with a description of what each does. |
| Configuration | config.yaml / env reference, telemetry. |
| Deployment | Postgres/Redis, memory sizing, shared vs pool, large batches. |
| Architecture | System design and diagrams. |
| Security | Threat model, trust boundaries, and production hardening. |
| Custom Tools | Add your own detectors. |
| Contributing | Dev setup, tests, and guidelines. |
| Roadmap | What's shipped and what's next. |
Found a vulnerability using codebadger?
We'd love to hear about it - open a PR adding it to TROPHIES.md (CVE ID, project, one-line description, date).
Citation
@inproceedings{lekssays2026bridging,
title={Bridging Code Property Graphs and Language Models for Program Analysis},
author={Lekssays, Ahmed},
booktitle={Proceedings of the 2026 IEEE/ACM 4th International Workshop on Software Vulnerability Management},
pages={33--40},
year={2026}
}
Questions sur codebadger MCP
What languages does codebadger support for code analysis?
It analyzes Java, C/C++, JavaScript, Python, Go, Kotlin, C#, Ghidra, Jimple, PHP, Ruby, and Swift code through Joern CPGs.
What can an AI agent do with codebadger tools?
Agents can run CPGQL queries, trace data flow and taint, slice programs, and search for vulnerabilities.
What inputs can codebadger build a CPG from?
It can take a Git repository, a local path, or a pasted code snippet as input to build a CPG.
Does codebadger support large analysis batches?
Yes, it uses per-CPG worker pools, memory-aware scheduling, and a Postgres/Redis backend to scale.
Where is codebadger documented?
Installation, usage, tools, configuration, deployment, and other guides are in the docs/ directory.