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Literature Review MCP Server

An academic paper management tool that enables multi-source research searching, batch PDF analysis, and the generation of comprehensive, cross-literature reviews. It features intelligent token compression and quality evaluation to streamline the literature review workflow for researchers.

→ ydzat/literature-review-mcp· listed on glama
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// key findings
⚠️
Known vulnerabilities in dependencies: 16 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
✅
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: LLM_API_KEY, SILICONFLOW_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// known CVEs in dependencies16 high12 low

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

high@modelcontextprotocol/sdk@0.6.0GHSA-8r9q-7v3j-jr4g

Anthropic's MCP TypeScript SDK has a ReDoS vulnerability

high@modelcontextprotocol/sdk@0.6.0GHSA-w48q-cv73-mx4w

Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default

highaxios@1.6.0GHSA-35jp-ww65-95wh

axios Vulnerable to Full Man-in-the-Middle via Prototype Pollution Gadget in `config.proxy`

highaxios@1.6.0GHSA-3g43-6gmg-66jw

axios Vulnerable to Credential Theft and Response Hijacking via Prototype Pollution Gadget in Config Merge

highaxios@1.6.0GHSA-43fc-jf86-j433

Axios is Vulnerable to Denial of Service via __proto__ Key in mergeConfig

Depend on this server? Get alerted when its CVEs change.Watch this server free →
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configARXIV_MCP_STORAGE
🔐 secretLLM_API_KEY— your_api_key_here
configLLM_BASE_URL— Provider LLM_PROVIDER 推荐模型
configLLM_MAX_TOKENS
configLLM_MODEL— Qwen/Qwen2.5-7B-Instruct # 指定模型
configLLM_PROVIDER— siliconflow # 可选: siliconflow, openai, custom
configLLM_TEMPERATURE— 0.3 # 温度参数（默认 0.7）
🔐 secretSILICONFLOW_API_KEY
// 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 3 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/ydzat-literature-review-mcp-1v5632)](https://m8ven.ai/mcp/ydzat-literature-review-mcp-1v5632)
commit: 13f9cef170bc18478c1fd91f640b3ea558e637a7
code hash: 351bb495aaa6f31119707eead14980a218a26e1ab92a4cc288afceda26d2b534
verified: 6/17/2026, 12:15:00 PM
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