Local MCP capabilities provider for Expo
SynomosAI Governance is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
AI governance assessment: A³ scorecard, ISO 42001 evidence chain, compliance checklist, PII scan.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user zhaoxinghua09-cell-synomosai-governance-mcp '--' uvx synomosai-governance-mcp
# 2 — ask your agent for something these tools do
# audit_evidence_chain, a3_assess, passport_lookup and 3 more
SynomosAI Governance costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. This one runs on your machine: your client starts SynomosAI Governance as a process under your own user, with your files and your network, so the tool surface below is what it can do to your computer rather than to a server somewhere else. Its scan result is on the Security tab — read the surface before you approve it.
This is a public server: you run it yourself and this marketplace is not in the path. You need uv (docs.astral.sh/uv): uvx comes with it. Claude Code registers it in one command; --scope user makes it available in every project. The '--' is in quotes so that PowerShell passes it on.
claude mcp add --scope user zhaoxinghua09-cell-synomosai-governance-mcp '--' uvx synomosai-governance-mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry your client uses to start the process locally. A local server runs with your file system and your network, which is why it is priced without metering.
6 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Read from its source code. A server that builds its tool list when it starts can list more tools than this.
生成 ISO/IEC 42001 + NIST AI RMF 可审计证据工件模板(六类:决策日志/风险登记册/模型卡/变更记录/人类监督证明/事件处置台账)——为 AI 系统准备可追溯审计证据链
| Parameter | Type | Required | Notes |
|---|---|---|---|
| system_name | string | no | AI 系统/智能体名称 |
A³ 法则四维评分卡(意图/影响/可逆性/监督,各 1-5 分),返回总分(满分 20)与放行建议——AI 造/改 AI 或高影响动作发布前评估
| Parameter | Type | Required | Notes |
|---|---|---|---|
| intent | integer | no | 意图纯净度:越高越受控/目的越正当 |
| impact | integer | no | 影响可控度:越高越安全/可回退 |
| reversibility | integer | no | 可逆性:越高越容易撤销/纠偏 |
| oversight | integer | no | 人类监督强度:越高越多人审介入 |
查询技能/智能体身份码与溯源(本地台账示例)——展示 AI 身份码登记格式与溯源字段
| Parameter | Type | Required | Notes |
|---|---|---|---|
| skill | string | no | 技能/智能体标识,如 example-ai-brand |
生成 AI 治理合规清单(EU AI Act 2024/1689 相关条款 / GB/Z 185 / ISO/IEC 42001 / PIPL·GDPR)——面向自主 agent 注册就绪的自评起点,非法律意见
No parameter schema on file.
通用治理/PII 扫描:手机号、邮箱、本地路径、疑似凭据、密钥特征串 + 版权指纹缺失提示;可用 names 传指名清单(逗号分隔)
| Parameter | Type | Required | Notes |
|---|---|---|---|
| text | string | no | 待扫描文本 |
| names | string | no | 可选:指名清单(逗号分隔),命中即告警 |
LGD 全程治理论知识端点:返回三律/三查/规范出处(DOI·仓库·官网),可按主题路由到对应域论文(金融/证据/政务/链上/驾驶/数据/低空/机器人/工业/基因/教育/医械)
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | no | 主题/问题,如 '金融AI' 或 '什么是三查' |
| domain | string | no | 可选:直接指定域关键词 |
- Every tool, no call limit
- No card, and mcprush charges nothing for it
- Source published under MIT
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install SynomosAI Governance or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | minimal | capability blast radius (minimal) — client exposure if the model is manipulated | −0 |
| verification-discount | repo | publisher verification (public source) — no provenance, but the source is public and inspectable | −1 |
| coverage-honesty | source | inspection depth (source) — how much of the target the scan could see | −0 |
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
No tools were enumerated, so prompt-injection, capability and toxic-flow analysis had no tool surface to inspect. To grade a package’s real runtime tools, scan the running server: --command "npx -y <package>".
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. minimal is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| No per-tool rows for this release — see the note below. | ||
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
Always latest — the install command names no version, so it installs the newest release when it runs; the current release on file is 1.2.2. Pin a release below and the command asks for exactly that one.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish SynomosAI Governance can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.