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airblackbox/air-blackbox-mcp

by Various

MCP server for AIR Blackbox. Expose audit, replay, scan, and compliance tools to any MCP-compatible agent or IDE.

A

MCP

airblackbox/air-blackbox-mcp

Added 1 June 2026

#ai-safety #claude #compliance #cursor #eu-ai-act #mcp #python

Overview

An MCP server that exposes AIR Blackbox's audit, replay, scan, and compliance tools to any MCP-compatible agent or IDE. It allows AI-driven workflows to invoke these security and compliance capabilities directly from agents or editors.

Best for

Best for
Developers building AI-integrated security or compliance workflows in Python-based environments

Use cases

  • Triggering automated security scans from an AI coding assistant
  • Running compliance checks as part of a development pipeline via an MCP agent
  • Querying audit logs or replaying sessions through an MCP-compatible IDE plugin

Notes

An MCP server that exposes AIR Blackbox’s audit, replay, scan, and compliance tools to any MCP-compatible agent or IDE. It allows AI-driven workflows to invoke these security and compliance capabilities directly from agents or editors.

1 stars on GitHub. Last updated 2026-05-04. Licensed Apache-2.0.

Use cases

  • Triggering automated security scans from an AI coding assistant
  • Running compliance checks as part of a development pipeline via an MCP agent
  • Querying audit logs or replaying sessions through an MCP-compatible IDE plugin

Pros

  • Open-source and extensible
  • Leverages the MCP standard for broad agent/IDE compatibility
  • Provides a structured, programmatic interface to security tooling

Cons

  • Very early stage with only 1 GitHub star and little community adoption
  • Limited documentation and usage examples
  • Python-only implementation may not suit all deployment environments

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open-source and extensible
  • Leverages the MCP standard for broad agent/IDE compatibility
  • Provides a structured, programmatic interface to security tooling

Cons

  • Very early stage with only 1 GitHub star and little community adoption
  • Limited documentation and usage examples
  • Python-only implementation may not suit all deployment environments