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AI remediation server bridges security scanners and AI assistants

bugsy, from Mobb Dev, automates security remediation for developers and AI agents, turning scanner findings into applied fixes. It runs as a Model Context Protocol server that lets AI assistants operate within repository context to generate and apply code changes. The tool provides automated fix generation, a CLI entry point via npx, and a web review interface. It targets developers, open-source maintainers, and DevSecOps teams reducing manual patching effort.

What tasks can you actually use bugsy for?

bugsy accepts static-analysis findings and turns them into code edits, focusing strictly on remediation rather than detection. The distribution targets maintainers of public repositories and integrates generated patches into the repository workspace for verification. Its community edition is optimized for open-source projects and is intended to close the loop between vulnerability reports and concrete code changes that developers can inspect and commit.

  • Snyk
  • Checkmarx
  • GitHub Advanced Security (CodeQL)
  • OpenText Fortify

How accurate are the generated fixes compared to manual patches?

The tool produces suggested edits described as production-ready code fixes, but correctness depends on the upstream scanner findings and the assistant operating in the repository context. Because bugsy does not discover vulnerabilities itself, patch quality aligns with the precision of SAST reports and the clarity of the assistant prompt. Teams should run conventional code review and testing on AI-generated changes before merging into main branches.

Does it require technical knowledge to get useful results?

Running bugsy as an MCP server requires an API key from Mobb and an MCP-compatible assistant. The project also runs as a CLI via npx on systems with Node.js, enabling quick execution without a complex installer. Supported MCP environments include Claude Desktop, Cursor, and Windsurf, which means administrators must configure repository access and credentials for assistants to apply changes inside the project workspace.

What are the limits teams should plan for?

bugsy is vendor-agnostic but tuned for public GitHub, GitLab, and ADO repositories, so private or self-hosted workflows may need extra configuration. The tool relies entirely on external SAST input, so gaps in scanner coverage produce gaps in remediation. As a community-focused project, teams that require enterprise-only controls should plan additional governance around access, verification, and integration with existing security pipelines.

Practical choice for teams aligned with SAST and MCP workflows

bugsy is a practical option for developers and DevSecOps who already use SAST tools and MCP-compatible assistants and who accept AI-suggested patches as starting points. Mobb, founded in 2021 by Eitan Worcel and Jonathan Afek, focuses on automated remediation; teams should budget time for human review of generated edits and for configuring MCP access before relying on it in production pipelines.

  • Pros

    • Generates production-ready code fixes from SAST findings
    • Accepts reports from Snyk, Checkmarx, CodeQL, and Fortify
    • Runs instantly via npx CLI on systems with Node.js
    • Operates as an MCP server so assistants can apply patches
  • Cons

    • Does not perform vulnerability scanning itself
    • Optimized for public repositories over private, self-hosted codebases
    • Requires MCP setup and a Mobb API key for server mode
    • AI-generated changes require developer review and testing
 0/1

App specs

  • Developer

  • License

    Free

  • Version

    v1.5.18

  • Latest update

  • Platform

    MCP

  • Language

    English

Program available in other languages


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