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Research Guard

An MCP server that detects duplicated research directions and probes blind spots before committing to a project, helping researchers avoid wasted effort.

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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 2 credentials: SEMANTIC_SCHOLAR_API_KEY, OPENAI_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configGUARD_SOURCESSelect sources via the env var (comma-separated), e.g. GUARD_SOURCES=openalex,arxiv runs fully key-free.
🔐 secretSEMANTIC_SCHOLAR_API_KEY[Semantic Scholar](https://semanticscholar.org) Optional ✅ Rate-limited without a key; set to lift it
configOPENALEX_MAILTO[OpenAlex](https://openalex.org) Not required ✅ 250M+ works; set to join the polite pool for faster responses
configLLM_PROVIDERexport ="openai"
🔐 secretOPENAI_API_KEYexport ="your_key"
configLLM_MODELexport ="gpt-4o-mini" # optional, defaults to gpt-4o-mini
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// 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/fengrru-research-guard-1baat6)](https://m8ven.ai/mcp/fengrru-research-guard-1baat6)
commit: 5b76db71e917f63bd6cc4648d8dcbab574f86a3c
code hash: d2773f3a588562a0cb8683805779f5e04147476e612faa0f9ed5bfc6397efc8c
verified: 7/30/2026, 9:12:52 AM
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