C
Limited view
73/100
15 days ago

Aurai Advisor (上级顾问 MCP)

An MCP server that enables local AI models to receive guidance from remote 'senior' AI providers like OpenAI, Anthropic, and Gemini to solve programming problems. It features intelligent multi-turn dialogue management, context synchronization, and automated session history tracking.

Limited view. Automated analysis covers part of this stack. Findings reflect what we verified. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

Limited view: static analysis for Python is partially covered.

How we verified

Code Verified⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

LZMW

Source: Glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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// 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: AURAI_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// 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.
🔐 secretAURAI_API_KEYenv ="你的API密钥" \
configAURAI_BASE_URLenv ="https://你的API地址/v1" \
configAURAI_MODELenv ="模型名称" \
configAURAI_CONTEXT_WINDOW200000 ≥1 模型上下文窗口大小(tokens)。输入 + 输出的总上限
configAURAI_MAX_MESSAGE_TOKENS150000 ≥1 单个文件超过此值会自动拆分成多段发送
configAURAI_MAX_ITERATIONS50 1–200 单个问题最多对话轮数。50 轮内解决 → 自动清空历史;超限 → 清空历史并返回 requires_human_intervention
configAURAI_TEMPERATURE0.7 0.0–2.0 生成温度。越低越确定,越高越随机
configAURAI_MAX_TOKENS32000 ≥1 远程顾问单次回复的最大输出长度(tokens)
configAURAI_CONTEXT_HIGH_WATERMARK0.85 0.5–1.0 上下文高水位线。输入 tokens 超过此比例时返回预警并主动压缩历史
configAURAI_LOG_LEVELINFO 日志级别:DEBUG / INFO / WARNING / ERROR。调试时建议 DEBUG
configAURAI_MAX_HISTORY50 1–200 每个会话在本地最多保留多少条历史记录
configAURAI_ENABLE_PERSISTENCEtrue bool 是否将历史保存到磁盘。关闭后重启 Claude Code 历史丢失
configAURAI_HISTORY_LOCK_TIMEOUT10 1–120s 跨进程文件锁等待超时
configAURAI_ENABLE_HISTORY_SUMMARYtrue bool 是否启用历史摘要。仅在接近 max_history(80%)时触发,保留 60% 原始记录
configAURAI_PROMPT_HISTORY_TURNS10 1–50 每次发送给远程顾问时附带最近多少轮原始对话(摘要不受此限制)
configAURAI_STDIO_IDLE_TIMEOUT_SECONDS600 0–86400 空闲多久后自动退出。0 = 永不退出(推荐)
configAURAI_STDIO_IDLE_CHECK_INTERVAL_SECONDS30 1–3600 空闲检查间隔
// 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

4/4 tools missing one or more hints — consult_aurai (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); sync_context (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); report_progress (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +1 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 handlers catch errors

Only 1/4 tool handlers wrap calls in try/catch (25%)

Wrap each tool handler body in try/catch and return a structured error response.

Tests exist

No test files found

Add tests that exercise each declared tool.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/lzmw-mcp-aurai-server-1l236j)](https://m8ven.ai/mcp/lzmw-mcp-aurai-server-1l236j)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 5ca7dd193c966b48910cf4855615ff60e1e5ba16
code hash: 935e8517e30db5d4528a2b44df59e572249256ad0125f56abd95e111db9f2830
verified: 8/6/2026, 3:06:13 PM
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