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MCP server · Data

Airecon

· github.com/pikpikcu/airecon

AIRecon is an autonomous cybersecurity agent that combines a self-hosted Large Language Model (Ollama) with a Kali Linux Docker sandbox and a Textual TUI. It is designed to automate security assessments, penetration testing, and bug bounty reconnaissance — without any API keys or cloud dependency.

Unclaimed ai-agentsautomationbugbountycliollamapenetration-testingpythonreconnaissance
InstallView source
59Fair

Scored 7 hours ago · breakdown

About Airecon

Airecon is an MCP server in the Data category: aIRecon is an autonomous cybersecurity agent that combines a self-hosted Large Language Model (Ollama) with a Kali Linux Docker sandbox and a Textual TUI. It is designed to automate security assessments, penetration testing, and bug bounty reconnaissance — without any API keys or cloud dependency. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/pikpikcu/airecon

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • ·Scoped permissionsNot checked yet.
Questions

About Airecon

How do I install Airecon?

Run git clone https://github.com/pikpikcu/airecon, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Airecon safe to use with an AI agent?

Its trust score is 59 out of 100 (fair). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Airecon still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.