Server data from the Official MCP Registry
Can this LLM run on my GPU? VRAM, speed ceiling and what fits instead, for any model and GPU.
About
Can this LLM run on my GPU? VRAM, speed ceiling and what fits instead, for any model and GPU.
Remote endpoints: streamable-http: https://mcp.nodegrove.io/mcp
Security Report
A well-architected MCP server for GPU/LLM memory estimation with no authentication (appropriate for read-only, public data service). Code is clean, properly structured with input validation via Zod schemas, and has appropriate error handling. The server only fetches public Hugging Face config.json files and performs arithmetic calculations—no credential risks, no shell execution, no malicious patterns. Minor code quality observations do not impact the strong security posture. Supply chain analysis found 2 known vulnerabilities in dependencies (0 critical, 1 high severity). Package verification found 1 issue (1 critical, 0 high severity).
5 files analyzed · 6 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
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Unverified package source
We couldn't verify that the installable package matches the reviewed source code. Proceed with caution.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
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