Modular RAG MCP Server (xiaoxinbuxingyeyuan/MODULAR-RAG-MCP-SERVER) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 2 tools. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100

Modular RAG MCP Server

Enables AI clients to retrieve study-abroad admissions knowledge through a local, pluggable RAG pipeline with hybrid search, reranking, citations, and observability. It provides MCP tools, document ingestion, and a Streamlit dashboard for managing and evaluating retrieval.

→ xiaoxinbuxingyeyuan/MODULAR-RAG-MCP-SERVER· listed on glama

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.

How we verified

Code Verified⚡ Live Monitored: not connected

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Who stands behind it

xiaoxinbuxingyeyuan

Source: Glama

Is this your MCP?

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Install from

Glamanot scored here

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.
🔐
You'll be asked for 4 credentials: AZURE_OPENAI_API_KEY, OPENAI_API_KEY, OPENROUTER_API_KEY, DEEPSEEK_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.
🔐 secretAZURE_OPENAI_API_KEY
🔐 secretOPENAI_API_KEYOpenAI 兼容网关可通过 、OPENAI_BASE_URL 和 OPENAI_MODEL 注入，不需要修改仓库配置或提交凭据。未配置的 Provider 用例应保持跳过状态。
configAZURE_OPENAI_ENDPOINT
configOLLAMA_BASE_URL
🔐 secretOPENROUTER_API_KEY
🔐 secretDEEPSEEK_API_KEY
configOPENAI_BASE_URLOpenAI 兼容网关可通过 OPENAI_API_KEY、 和 OPENAI_MODEL 注入，不需要修改仓库配置或提交凭据。未配置的 Provider 用例应保持跳过状态。
// 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

2/2 tools missing one or more hints — handle_call_tool (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); dynamic_tool_105 (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). 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.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

Tool test coverage

Only 0/2 tools referenced in tests (0%)

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

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/xiaoxinbuxingyeyuan/modular-rag-mcp-server)](https://m8ven.ai/mcp/xiaoxinbuxingyeyuan/modular-rag-mcp-server)
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commit: f7e299644e1ae1e4465f7e2edf6b60d0b317b84c
code hash: d178ba9a2a5052b627751f07ecd1521d6ccc751f09cee7d8804f66e8cca9eec6
view raw JSON →
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