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

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

Related MCP server: Agent Compliance Passport MCP

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.

Deploy (hosted) / 部署（托管）

Run the same server as an always-on hosted endpoint without local setup, on ModelScope (community MCP square):

The hosted Remote URL is shared privately on the service page (Streamable HTTP, no auth). Self-hosting via mcp.json above remains fully supported.

魔搭社区已提供托管部署入口（MCP 广场 · Hosted · 可部署），远程调用地址在服务页内私密展示； 本地自托管（上文 mcp.json）始终可用。

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, 6 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

Contact: https://medxpert.cn ORCID: 0009-0001-0512-1237 理论署名 (attribution) : LGD（Lifecycle Governance Doctrine / 全程治理论）— SynomosAI initiative

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.