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1 day ago
glama

paper-mcp

Remotely-callable MCP server for academic paper search, full-text retrieval and image to LaTeX conversion across arXiv, Semantic Scholar, and OpenAlex.

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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: NCBI_API_KEY, SEMANTIC_SCHOLAR_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.
🔐 secretNCBI_API_KEY
configNCBI_TOOL
configNCBI_EMAIL
configPAPER_MCP_HOST
configPAPER_MCP_PORT9400 python -m paper_mcp.server
configPAPER_MCP_PATH
configMCP_MAX_PER_HOUR300 Direct-client JSON-RPC POST budget per IP.
configMCP_WORKER_MAX_PER_HOUR300 Trusted reverse-proxy Worker budget per HMAC-derived connection key. Raw keys are not retained.
configMCP_WORKER_SHARED_MAX_PER_HOUR2400 Shared ceiling across all trusted Worker connections.
configMCP_RATE_COOLDOWN_SEC300 Minimum fast-rejection cooldown after a bucket reaches its limit.
🔐 secretSEMANTIC_SCHOLAR_API_KEYoptional; raises S2 rate limit. Set via /etc/paper-mcp.env in prod.
configOPENALEX_MAILTO
configLINT_URL
configPDF_EXTRACT_URL
configRECOGNIZE_URL
// 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 5 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/mcpservings-paper-mcp-1ht36i)](https://m8ven.ai/mcp/mcpservings-paper-mcp-1ht36i)
commit: 41f0332c77abf7212a62eba2c3db715d7867eead
code hash: 1bb6a5d5b13cf9e5ef80a3949168eedc778f55ed17fa01211e6cddd1ba82e01a
verified: 7/30/2026, 8:50:17 AM
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