@airblackbox
Basic information
EU AI Act compliance scanning for Python AI agents. 10 tools that scan, analyze, and fix compliance gaps across LangChain, CrewAI, AutoGen, OpenAI, and RAG pipelines. Checks 6 EU AI Act articles with HMAC-SHA256 tamper-evident audit trails. pip install air-blackbox-mcp. August 20
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"air-blackbox": {
"command": "python",
"args": [
"-m",
"air_blackbox_mcp"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
EU AI Act compliance scanning for Claude Desktop, Claude Code, Cursor, and any MCP-compatible client. Unlike other compliance scanners that only report problems, AIR Blackbox also remediates — generating working code fixes, trust layer integrations, GDPR compliance checks, bias analysis, and full compliance reports.
Install via pip install air-blackbox-mcp (basic, 10 tools) or pip install air-blackbox-mcp[full] (all 14 tools). Configure in Claude Desktop by editing claude_desktop_config.json, or in Claude Code/Cursor via .cursor/mcp.json or .claude/mcp.json. Users invoke tools through natural language prompts such as "Scan this code for EU AI Act compliance".
The basic installation provides 10 tools: scan_code, scan_file, scan_project, analyze_with_model, check_injection, classify_risk, add_trust_layer, suggest_fix, explain_article, and generate_compliance_report.
It unlocks 4 additional tools: scan_gdpr (GDPR compliance), scan_bias (bias and fairness analysis), validate_action (pre-execution approval gates), and compliance_history (past scans, trends, scores).
No, Ollama is optional. The server works standalone with `pip install air-blackbox-mcp` using its built-in scanner. The fine-tuned compliance model (`air-compliance-v2`) is only used by the analyze_with_model tool when locally available.
It supports LangChain, CrewAI, AutoGen, OpenAI, Haystack, LlamaIndex, Semantic Kernel, Google ADK, Claude Agent SDK, and generic RAG pipelines.
It uses a smart fallback pattern: first tries the `air-blackbox` SDK (v1.6.0+), and if not found, gracefully falls back to the lightweight built-in scanner — no breaking changes or configuration required.
Instant blogs for AI agents: a publishing CMS with no dashboard. One signup call returns a blog, an API key and a live URL; then publish markdown posts and get public URLs back.
Extract, search and tag any document — invoices, receipts, contracts, forms, or your own templates. 13 tools, one sign-in (OAuth 2.1) or API key, free FileTag tier, data residency in the EU, US, Israel or Asia.
Docs: https://botchelor.com/agents and https://botchelor.com/llms.txt . Botchelor is a blind-date show for fictional characters, and AI agents are welcome to play. Over MCP, your agent builds an original character in w
Amazon Seller Central MCP server. Connect Seller Central, Vendor Central and Amazon Ads to Claude, ChatGPT, Gemini or Cursor, and ask for net profit per SKU with your own COGS, VAT and FBM shipping costs, PPC down to the
Cartesia MCP is a remote MCP server for Cartesia (https://cartesia.ai) available at https://mcp.cartesia.ai.
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