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Air Blackbox MCP

EU AI Act compliance scanner for Python AI agents.

Connector by airblackbox · GitHub account verified by the MCP Registry

IndexedApache-2.0Local (stdio)★ 3
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Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/airblackbox-air-blackbox-mcp

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

EU AI Act compliance scanner for Python AI agents. 14 tools across 6 articles.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 25, 2026.

Tools
12 read · 1 write · 0 delete · 1 not yet classified
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Tools by what they do 14

Read from the source code; the running server may list different tools.

Read 12 · Look things up without changing anything.

  • analyze_with_model
  • check_injection
  • classify_risk
  • compliance_history
  • explain_article
  • scan_bias
  • scan_code
  • scan_file
  • scan_gdpr
  • scan_project
  • suggest_fix
  • validate_action

Write 1 · Create, change, send or run things.

  • add_trust_layer

Not yet classified 1 · We could not tell from the name and description.

  • generate_compliance_report

Network hosts it talks to 1

  • github.com · found in code

Files it touches

  • Any path the agent passes to its tools

Tools (14)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • add_trust_layer

    Generate modified code WITH the AIR trust layer added. Given existing AI agent code and framework name, returns working, copy-paste-ready code with imports and setup for the AIR trust layer. Supports: langchain, crewai, autogen, openai, haystack (rag), adk, claude. If framework is empty, auto-detects from the code.

  • analyze_with_model

    Analyze code using the local air-compliance-v2 fine-tuned model via Ollama. If Ollama is running with the air-compliance-v2 model, sends the code for deep analysis that catches issues regex patterns miss. Falls back gracefully to rule-based scanning if Ollama isn't available.

  • check_injection

    Scan text for prompt injection attacks. Checks 15 weighted patterns including role override, jailbreak attempts, system prompt manipulation, safety bypass, privilege escalation, and more. Returns detected patterns, confidence score (0-1), and whether the text would be blocked by a guardrail.

  • classify_risk

    Classify a tool or function by EU AI Act risk level. Maps tool names to risk categories: - CRITICAL: shell, exec, delete, spawn (requires human approval) - HIGH: database, email, deploy, git_push (requires approval or audit) - MEDIUM: http_request, api_call (should be logged) - LOW: file_read, search, query (standard logging) Uses the same risk map as AIR ConsentGate.

  • compliance_history

    View past scan results, trends, and compliance history. Available only with full air-blackbox SDK (pip install air-blackbox-mcp[full]). Actions: 'list': Show recent scans 'trend': Analyze compliance trend over time 'score': Get latest compliance score 'export': Export full audit trail Helps track compliance progress and identify patterns.

  • explain_article

    Get a technical explanation of a specific EU AI Act article. Explains what Article 9, 10, 11, 12, 14, or 15 requires, mapped to specific AIR trust layer components that address each requirement.

  • generate_compliance_report

    Generate a full markdown compliance report for AI agent code. Scans the code and produces a formatted report with: - Framework detection results - Trust layer status - Per-article findings with severity - Fix recommendations - Overall compliance score

  • scan_bias

    Scan code for AI bias and fairness issues. Available only with full air-blackbox SDK (pip install air-blackbox-mcp[full]). Checks for: - Disparate impact risks in decision logic - Training data bias indicators - Protected attribute handling - Fairness metric awareness - Bias mitigation strategies

  • scan_code

    Scan AI agent code for EU AI Act compliance (Articles 9-15). Accepts Python, Jupyter notebook JSON, TypeScript, JavaScript, Java or Kotlin when the air-blackbox SDK is installed (pip install air-blackbox-mcp[full]); the language is detected from the code, or pass `language` to state it. Without the SDK, the built-in scanner reads Python only. Detects frameworks (LangChain, CrewAI, AutoGen, OpenAI, Haystack, LlamaIndex, and their npm/JVM counterparts), checks for trust layer presence, and evaluates compliance across 6 articles: - Art 9: Risk Management (error handling, fallbacks) - Art 10: Da…

  • scan_file

    Scan a single source file for EU AI Act compliance. Python, .ipynb, TypeScript, JavaScript, Java or Kotlin with the SDK installed; Python only without it. Reads the file, detects framework and trust layer, then runs all compliance checks. Returns line count, findings, and score.

  • scan_gdpr

    Scan code for GDPR compliance issues (data processing, consent, etc.). Available only with full air-blackbox SDK (pip install air-blackbox-mcp[full]). Checks for: - Personal data handling without consent - Data retention policies - Right to erasure implementation - Data processing agreements - Cross-border data transfer safeguards

  • scan_project

    Recursively scan all source files in a project directory. Walks the directory tree (skipping node_modules, .git, build output, etc.) and runs a combined compliance analysis. With the SDK installed this reads Python, notebooks, TypeScript, JavaScript, Java and Kotlin and gives the verdict `air-blackbox comply --scan` gives; without it, .py files only. Returns per-file info, aggregate findings, and project-level score.

  • suggest_fix

    Get specific code fix suggestions for a given EU AI Act article. Provide an article number (9, 10, 11, 12, 14, or 15) and optionally the framework name for framework-specific recommendations.

  • validate_action

    Validate an agent action before execution (Article 14 compliance). Available only with full air-blackbox SDK (pip install air-blackbox-mcp[full]). Use this to check if an action should be executed, requires approval, or should be blocked. Implements ConsentGate logic. Args: action_type: 'tool_call', 'file_write', 'api_call', 'shell_exec', etc. tool_name: name of the tool/function being called risk_level: optional override ('CRITICAL', 'HIGH', 'MEDIUM', 'LOW') Returns: approval status, required policies, and remediation steps

Signals

Stars
3
Forks
2
Open issues
1
Weekly downloads
94
Last commit
Oct 15, 2026 (13 days ago)
Last release
Oct 15, 2026 (13 days ago)
Last package publish
Oct 15, 2026 (13 days ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.airblackbox/air-blackbox-mcp
Version
0.2.0
Auth
No auth
Packages
pypi air-blackbox-mcp
License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 25, 2026

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Cite this page

Air Blackbox MCP. Agent Mart. https://agentmart.dev/connectors/airblackbox-air-blackbox-mcp (last updated 2026-10-25)