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SynomosAI Governance MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time — check back soon.
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AI governance MCP: A3 scorecard, ISO 42001 evidence templates, compliance checklist, gov_scan.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for SynomosAI Governance MCP, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
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Documentation Overview

SynomosAI Governance MCP

License: MIT

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

config.json
{

  "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

bash
# 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

Read the full README →View source on GitHub →

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Frequently Asked Questions about SynomosAI Governance MCP

We don't have a confirmed install command for SynomosAI Governance MCP yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/Medxpert-org/ubic-governance-mcp) for the current steps.

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Technical Specs & Signals

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Last updatedSep 28, 2026
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27Quality signal: Emerging · 27/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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