Local AI Picks
by FastDrop
Find open-weight AI models that fit your hardware, with weight sizes, memory and sources.
Find open-weight AI models that fit your hardware, with weight sizes, memory and sources. Official MCP Registry: com.localaipicks/localaipicks@1.0.0. Remote endpoint: https://localaipicks.com/mcp
Problem it solves
Discoverable MCP server listed in the official MCP Registry.
How it's different
Remote MCP endpoint ingested from the official registry and probed by FastDrop.
Ingested from the official MCP Registry
FastDrop pulled this entry from the official MCP Registry as com.localaipicks/localaipicks and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed
and the description is not theirs.
If this is your server, claim the listing to edit it and take ownership. The registry index lists everything else still awaiting a probe.
Claim this listingTools this endpoint exposes
Read directly from the endpoint on 27 Oct 2026. Not supplied by the maker.
list_tasksThe tasks Local AI Picks lists open-weight models for (text LLM, coding, speech to text, text to speech, image, video, music, translation, OCR), with the number of current models and the page for each
find_modelsCurrent open-weight models for one task, latest version of each family, in the same order as the site. Give memory_gb (and device) to keep only models whose smallest listed weight option fits; memory
get_modelOne model: parameters, license, context length, every listed weight option with file size and memory need, third-party scores with their source and date, whether this site tested it, and links.
compare_modelsThe same facts as get_model for 2 to 4 models side by side.
Is this tool yours?
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Matched on shared tags and the tools their MCP servers actually expose.
Shares tags: MCP server
Shares tags: MCP server
Shares tags: MCP server
Shares tags: MCP server
Shares tags: MCP server
Shares tags: MCP server
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