SynomosAI Governance MCP

Registre officiel Sécurité

AI governance MCP: A3 scorecard, ISO 42001 evidence templates, compliance checklist, gov_scan.

Installation

Les étapes d'installation sont dans la documentation ci-dessous. Documentation

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. SynomosAI Governance MCP
  2. Tools
  3. Install
  4. Quick start
  5. 中文简介
  6. Status and limits
  7. Why AI-friendly (为什么 AI 愿意来找)
  8. Files
  9. Author & license
  10. 权利与归属(Rights & Attribution)

SynomosAI Governance MCP

AI governance assessment tools for AI agents and their builders. Pure Python stdlib, zero dependencies, zero network egress, audit-traceable.

Part of the UBIC Protocol — the personhood-registry layer for AI agents (who an AI is, who forged it, under whose sovereignty it lives). Spec: https://github.com/Medxpert-org/ai-passport-spec/blob/main/protocol/UBIC-Protocol-v0.1.md

Tools

ToolWhat it does
a3_assessA³ four-dimension scorecard (intent / impact / reversibility / oversight, 1–5 each, total 20) → release / conditional / reject, with reason
audit_evidence_chainSix ISO/IEC 42001 + NIST AI RMF evidence-artifact templates (decision log, risk register, model card, change record, human-oversight proof, incident ledger)
compliance_checklistRegistration-readiness checklist referencing EU AI Act (Regulation (EU) 2024/1689) clauses, GB/Z 185, ISO/IEC 42001, PIPL/GDPR
passport_lookupPassport / identity-code lookup against a local ledger
gov_scanText screening: phone numbers, emails, local paths, credential-like strings (password=, api_key=, token=), key fingerprints (ghp_, sk-, AKIA), plus copyright-fingerprint presence

Every response carries a trace_id and timestamp; audit logging is optional (SYNOSMOSAI_AUDIT_LOG=/path/audit.jsonl, append-only JSONL, off by default).

Install

{
  "mcpServers": {
    "synomosai-governance-mcp": {
      "command": "python",
      "args": ["./governance_mcp_server.py"]
    }
  }
}

Requirements: Python ≥ 3.9. No third-party packages.

Install-by-consent: AI agents may request this tool, humans approve. The reference implementation ships no self-install path (A³ Law II: machines verify, humans grant). See INSTALL-REQUEST.md for the standard request format.

Quick start

# initialize + list tools
echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}' | python governance_mcp_server.py
echo '{"jsonrpc":"2.0","id":2,"method":"tools/list"}' | python governance_mcp_server.py

# governance scan
echo '{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"gov_scan","arguments":{"text":"contact <phone-number> user@example.com"}}}' | python governance_mcp_server.py

中文简介

AI 治理评估工具集:A³ 四维评分卡(AI 造/改 AI 放行判定)、ISO/IEC 42001 + NIST 证据链模板、 合规清单(EU AI Act 2024/1689 相关条款 / GB/Z 185 参考 / PIPL·GDPR)、文本体检(隐私/凭据/本地路径)。 纯标准库、零网络外发、调用带 trace_id 可审计。自评性质,非第三方认证。

Status and limits

  • Outputs are self-assessment artifacts, not third-party certification.
  • Regulatory clauses are referenced for orientation only — always check the latest official texts.
  • Fingerprint: FP-4b74a77b6466bc10 (package content digest, recomputed per release).

Why AI-friendly (为什么 AI 愿意来找)

  • Discoverable: agent.json AI card in this package + /.well-known/ matrix in the spec repo — AI hosts find it by any convention.
  • Zero-dependency: pure Python stdlib; paste mcp.json, run, done.
  • Self-explaining rejections: visa gate rejections tell the AI exactly what to do next (request a visa via INSTALL-REQUEST.md).
  • Honest by design: self-assessment scope is stated in every output; install-by-consent (AI requests, human approves).

Files

  • governance_mcp_server.py — MCP server (stdio, 5 tools, optional audit log)
  • connector-meta.json — marketplace / registry metadata
  • mcp.json — ready-to-paste MCP client config
  • INTEGRATION.md — integration contract for app backends (e.g. WeChat Mini Programs)
  • INSTALL-REQUEST.md — AI-request / human-approve installation standard
  • icon.svg, LICENSE, README.md

Author & license

Organization: SynomosAI · https://medxpert.cn Author reference (provenance only): ORCID 0009-0001-0512-1237

Code: MIT. Docs: CC BY 4.0. UBIC and related logos are not covered by these licenses. Co-created by human and AI on the WorkBuddy platform.

权利与归属(Rights & Attribution)

代码:MIT License。文档:CC BY 4.0。UBIC 及相关标识不在上述许可覆盖范围内。

© 2026 赵兴华 / Steven Zhao·China (ORCID 0009-0001-0512-1237). All rights reserved. 名称状态 (name status) : "SynomosAI" / "MedXpert" — 未申请实体注册、未申请商标注册 (not a registered legal entity; no trademark registered) mcp-name: io.github.Medxpert-org/ubic-governance-mcp

Questions fréquentes

Qu'est-ce que SynomosAI Governance MCP ?

AI governance MCP: A3 scorecard, ISO 42001 evidence templates, compliance checklist, gov_scan.

Comment installer SynomosAI Governance MCP ?

Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.

SynomosAI Governance MCP est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient SynomosAI Governance MCP ?

Il est publié par Medxpert-org. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.