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knowledgepa3/gia-mcp-server

by Various

MCP server for GIA Governance — runtime governance for AI agents. 33+ tools. Free starter key → gia.aceadvising.com/get-api-key

K

MCP

knowledgepa3/gia-mcp-server

Added 1 June 2026

#ai-agents #ai-safety #anthropic #audit #claude #compliance #enterprise #governance

Overview

A Model Context Protocol server that enforces runtime governance on AI agents. It provides over 30 tools to define and enforce policies, audit actions, and manage permissions. A free starter key is available for initial use.

Best for

Best for
Developers who need to add governance and compliance to AI agents at runtime

Use cases

  • Enforce compliance policies on agent behavior
  • Audit and log agent actions in real time
  • Control agent permissions and access scopes

Notes

A Model Context Protocol server that enforces runtime governance on AI agents. It provides over 30 tools to define and enforce policies, audit actions, and manage permissions. A free starter key is available for initial use.

2 stars on GitHub. Last updated 2026-05-23. Licensed MIT.

Use cases

  • Enforce compliance policies on agent behavior
  • Audit and log agent actions in real time
  • Control agent permissions and access scopes

Pros

  • Free starter key lowers barrier to entry
  • Over 30 tools cover a wide range of governance needs
  • Runtime governance adds a safety layer to agents

Cons

  • Low community adoption (2 GitHub stars) suggests limited validation
  • Requires API key and likely internet connection for governance checks
  • Documentation and examples may be sparse given project maturity

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

Pros

  • Free starter key lowers barrier to entry
  • Over 30 tools cover a wide range of governance needs
  • Runtime governance adds a safety layer to agents

Cons

  • Low community adoption (2 GitHub stars) suggests limited validation
  • Requires API key and likely internet connection for governance checks
  • Documentation and examples may be sparse given project maturity