Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly AI agents that connect over MCP and regulated teams with compliance requirements — source available on GitHub.
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Catalogue record
github.com
mcp-regulated-ai-compliance
📇 🏠 🍎 🪟 🐧 - Regulated-industry AI compliance knowledge as MCP. 6 tools (lookupcontrol · classifyusecase · crosswalk · walkplaybook · get...
Checked Oct 27, 2026Evidence completeness: evidenceREADME refreshed Oct 16, 2026
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📇 🏠 🍎 🪟 🐧 - Regulated-industry AI compliance knowledge as MCP. 6 tools (lookupcontrol · classifyusecase · crosswalk · walkplaybook · getantipattern · listregulations), 53 resources, 5 prompts. Covers EU AI Act, APRA CPS 230/234, NIST AI RMF, ISO 42001, AU AI Safety Standard (DISR Aug 2024), OWASP LLM Top 10, SLSA, SSDF, OAIC APPs, GDPR, DORA + 17 more frameworks. 56 controls × 28 regulations × 261 tools, 15 named anti-patterns, 20-entry crosswalk matrix. Apache 2.0 + CC BY 4.0 dataset....
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Teams evaluating AI models, assistants and generative workflows, particularly AI agents that connect over MCP and regulated teams with compliance requirements — source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
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Evidence summary
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
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mcp-regulated-ai-compliance
GitHub / uchit/mcp-regulated-ai-compliance
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