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SynomosAI Governance MCP

SynomosAI Governance MCP

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medxpert.cnLegal & Government0Updated 2d ago

About SynomosAI Governance MCP

SynomosAI Governance MCP is a Python server for AI builders assessing governance and compliance. It combines a four-part release scorecard, evidence templates, checklists, identity lookup, and text screening; results are self-assessment artifacts, not certification.

Key features

  1. 01A³ four-dimension release scorecard
  2. 02ISO 42001 and NIST evidence templates
  3. 03Regulatory compliance checklist
  4. 04Local passport and identity lookup
  5. 05Screening for sensitive text and fingerprints
  6. 06Trace IDs and optional audit logging

Use cases

  1. 01Assess an AI system before release
  2. 02Prepare governance evidence records
  3. 03Review readiness against listed regulations
  4. 04Scan text for credentials or personal data

MCP support

Exposes five governance tools to MCP clients, including assessment, evidence, checklist, lookup, and text-screening functions. It runs over stdio and returns trace IDs and timestamps.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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

{
  "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> [email protected]"}}}' | 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

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From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.