OmniDocs-RAG-CN (ybhuang995-dev/personal-data-for-agents) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it yet. No publisher has claimed this listing.

Not scored
2 months ago

OmniDocs-RAG-CN

Enables AI agents to index and search local files, websites, GitHub repos, and packages with hybrid AI-powered retrieval, all locally through IDE chat.

How we verified

Code Verified⚡ Live Monitored: not connected

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Who stands behind it

ybhuang995-dev

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 →

Install from

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.

⏳ This MCP is queued for scoring. Check back in a few minutes.
// key findings
🚨
Reads files from sensitive locations
Touches: ~/.config/Claude/claude_desktop_config.json
🔐
You'll be asked for 1 credential: GITHUB_TOKEN
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.
🔐 secretGITHUB_TOKENGitHub API 令牌(提升速率限制)
configRAG_DASHBOARD_PORT
configHF_HUB_DISABLE_PROGRESS_BARS
configTOKENIZERS_PARALLELISM
configTRANSFORMERS_VERBOSITY
configRAG_EMBED_MODELBAAI/bge-m3 嵌入模型
configRAG_RERANK_MODELBAAI/bge-reranker-v2-m3 交叉编码器重排序模型
configRAG_DEVICEauto cuda / cpu / auto(有 CUDA 健康检查)
configHF_HUB_OFFLINE
configTRANSFORMERS_OFFLINE
configRAG_DASHBOARD不启用 设为 true 开启 Web 面板(端口 6280)
configRAG_WATCH_PATH不启用 文件变动自动重索引
configRAG_WATCH_COLLECTION
// 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 — index_documents (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); reindex_collection (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_docs (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 inputs are validated

8/9 tool handlers declare input schemas (89%)

Declare an inputSchema with zod/joi/yup on every tool definition.

Tool handlers catch errors

Only 2/9 tool handlers wrap calls in try/catch (22%)

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.

No access to sensitive paths

Reads sensitive paths: ~/.config/Claude/claude_desktop_config.json

Remove reads of sensitive system paths. If you genuinely need them, document why in the README.

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 6 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/ybhuang995-dev/personal-data-for-agents)](https://m8ven.ai/mcp/ybhuang995-dev/personal-data-for-agents)
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commit: e79e85717ddd4d9a019f0b23782c4e3c0b3be899
code hash: 2abb202f1da8388ad3b8ae65775f319d5c4c562cf518a56fe98707ac3249de5a
verified: 7/14/2026, 8:27:58 AM
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