yuanzhu (RavenWangChina/yuanzhu) is an MCP server listed on the M8ven Trust Index. It scores 89 out of 100, grade B. It declares 9 tools. The publisher has proved control of what we score (Verified Publisher).

Back to MCP Trust IndexM8ven
B
Emerging
89/100

yuanzhu

Meta-Forge Workshop: turn recurring work into governed AI workflow assets. MCP server + Claude Code plugin + dsh plugin — staged writes, evals-gated forging, inference engine. 元铸工坊 SOSOFAST：把最佳实践铸成可治理的 AI 工作流资产

→ RavenWangChina/yuanzhu· listed on github_repo_search

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

qq.com (@RavenWangChina) · Verified Publisher

Source: github_repo_search

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GitHub

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 1 credential: YUANZHU_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
Are you the publisher? Confirm or correct these findings.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
🔐 secretYUANZHU_TOKEN远程服务或带 token 场景用环境变量覆盖：YUANZHU_MCP_URL / 。
configYUANZHU_URL
configYUANZHU_MODEL_PRICESWeb 控制台前端源码在 web/（Vite+Vue3，构建产物由 FastAPI 托管）；模型接入零配置：网关自动导入 dsh 已配的 provider（天翼云等，OpenAI 兼容协议全家桶）；自定义端点用 YUANZHU_PROVIDER_n_ 环境变量；估费价目用 （JSON）。
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

9/9 tools missing one or more hints — yuanzhu_pending (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); yuanzhu_actions (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); yuanzhu_query (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +6 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tool test coverage

4/9 tools referenced in tests (44%)

Write tests that reference each tool by name so every tool has at least one test.

// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/ravenwangchina/yuanzhu)](https://m8ven.ai/mcp/ravenwangchina/yuanzhu)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 663eb444d94ee6fc5de197b0d36313d18470fef1
code hash: a1939cc8b81b43c89eee8c505dc9e101f9ac1922fafc262f12c477b8153093b4
view raw JSON →
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