@mima-ai/governance-mcp

governance-mcp MCP server

MCP server for AI governance — push compliance evidence to Mima from any agent, any stack, 4 lines of config.

One tool call maps to EU AI Act, ISO 42001, SOC 2, and NIST AI RMF simultaneously. Your readiness score updates automatically.

Install

npx @mima-ai/governance-mcp

Or add to your MCP config:

{
  "mcpServers": {
    "mima-governance": {
      "command": "npx",
      "args": ["-y", "@mima-ai/governance-mcp"],
      "env": {
        "MIMA_API_KEY": "mima_ext_...",
        "MIMA_WORKSPACE_ID": "ws-..."
      }
    }
  }
}

Related MCP server: hivelaw

10 tools

Tool	What it does
`get_posture`	Overall readiness score + per-framework breakdown
`list_systems`	All AI systems — registered vs unregistered
`list_evidence`	Evidence records filtered by system and time
`dry_run_attest`	Preview which controls an attestation would earn
`attest`	Write a GRC evidence record
`register_system`	Register an AI system under EU AI Act Art. 9
`acknowledge_policy`	Record a policy acknowledgment
`derive_controls`	Recommended evidence types for a system description
`check_gates`	Gate pass/fail status with exit codes
`suggest_gates`	Prioritised gate recommendations

Usage — Claude Code

Add to ~/.claude/settings.json:

{
  "mcpServers": {
    "mima-governance": {
      "command": "npx",
      "args": ["-y", "@mima-ai/governance-mcp"],
      "env": {
        "MIMA_API_KEY": "mima_ext_...",
        "MIMA_WORKSPACE_ID": "ws-..."
      }
    }
  }
}

Then ask Claude: "Check our compliance posture" or "Register this AI system and suggest which controls we need."

Usage — Cursor / Windsurf

Add to .cursor/mcp.json or .windsurf/mcp.json in your project root:

{
  "mcpServers": {
    "mima-governance": {
      "command": "npx",
      "args": ["-y", "@mima-ai/governance-mcp"],
      "env": {
        "MIMA_API_KEY": "mima_ext_...",
        "MIMA_WORKSPACE_ID": "ws-..."
      }
    }
  }
}

Dry-run support

All write tools support dry-run — preview what controls you'd earn before committing:

dry_run_attest({ record_type: "ai_risk_assessment", system_name: "loan-scorer" })
// → { mapped_controls: ["EUAIA_ART9", "ISO42001_6_1", "NIST_AIRF_MAP_1"] }

Four frameworks, one call

Framework	What it covers
EU AI Act	Art. 9–15 risk management, oversight, accuracy obligations
ISO 42001	AI management system controls — A.6.x risk, A.9.x performance
SOC 2	CC3.x–CC8.x risk, change, and incident management
NIST AI RMF	GOVERN, MAP, MEASURE, MANAGE functions

Get an API key

mima.works → sign up → copy your key from the dashboard.

Python SDK

For app-code attestation (decorators, batch pushes, pre-approval gates):

pip install mima-governance

Docs

docs.mima.works

This server cannot be installed

A

license - permissive license

-

quality - not tested

B

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

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Related Servers

mimaworks/governance-mcp