Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly regulated teams with compliance requirements — a paid product, source available on GitHub.
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Catalogue record
github.com
gia-mcp-server
📇 ☁️ 🍎 🪟 🐧 - Enterprise AI governance layer with 29 tools: MAI decision classification (Mandatory/Advisory/Informational), hash-chained fore...
Checked Oct 27, 2026Evidence completeness: evidence
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📇 ☁️ 🍎 🪟 🐧 - Enterprise AI governance layer with 29 tools: MAI decision classification (Mandatory/Advisory/Informational), hash-chained forensic audit trails, human-in-the-loop gates, compliance mapping (NIST AI RMF, EU AI Act, ISO 42001), governed memory packs, and site reliability tools.
Best for
Teams evaluating AI models, assistants and generative workflows, particularly regulated teams with compliance requirements — a paid product, 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.
GitHub-backed record with source-attributed context.
Repository context
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GitHub / knowledgepa3/gia-mcp-server
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- Catalogue updated Oct 27, 2026
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