SynomosAI Governance MCP
AI governance MCP: A3 scorecard, ISO 42001 evidence templates, compliance checklist, gov_scan.
Install
The installation steps are in the documentation below. Documentation
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
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
| Tool | What it does |
|---|---|
a3_assess | A³ four-dimension scorecard (intent / impact / reversibility / oversight, 1–5 each, total 20) → release / conditional / reject, with reason |
audit_evidence_chain | Six ISO/IEC 42001 + NIST AI RMF evidence-artifact templates (decision log, risk register, model card, change record, human-oversight proof, incident ledger) |
compliance_checklist | Registration-readiness checklist referencing EU AI Act (Regulation (EU) 2024/1689) clauses, GB/Z 185, ISO/IEC 42001, PIPL/GDPR |
passport_lookup | Passport / identity-code lookup against a local ledger |
gov_scan | Text 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.mdfor 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.jsonAI 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 metadatamcp.json— ready-to-paste MCP client configINTEGRATION.md— integration contract for app backends (e.g. WeChat Mini Programs)INSTALL-REQUEST.md— AI-request / human-approve installation standardicon.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
Frequently asked questions
What is SynomosAI Governance MCP?
AI governance MCP: A3 scorecard, ISO 42001 evidence templates, compliance checklist, gov_scan.
How do I install SynomosAI Governance MCP?
Follow the installation steps in its documentation, shown on this page and in its repository.
Is SynomosAI Governance MCP open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains SynomosAI Governance MCP?
It is published by Medxpert-org. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.