MCP server

Local AI Picks Official

com.localaipicks/localaipicks

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

Find open-weight AI models that fit your hardware, with weight sizes, memory and sources.

Website

At a glance

Type

MCP server

Publisher

localaipicks.com (verified by the MCP Registry)

Status

Working at last check

Tools

4

Token cost

About 510 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http localaipicks https://localaipicks.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.localaipicks]
url = "https://localaipicks.com/mcp"

Gemini CLI

{"mcpServers":{"localaipicks":{"httpUrl":"https://localaipicks.com/mcp"}}}

Cursor

{"mcpServers":{"localaipicks":{"url":"https://localaipicks.com/mcp"}}}

VS Code

{"servers":{"localaipicks":{"type":"http","url":"https://localaipicks.com/mcp"}}}

Antigravity

agy mcp add localaipicks https://localaipicks.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"localaipicks","server_url":"https://localaipicks.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"localaipicks","server_url":"https://localaipicks.com/mcp"}

Tools

• compare_models ~76 tokens
  The same facts as get_model for 2 to 4 models side by side.
• find_models ~241 tokens
  Current 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 is estimated only for text LLMs and taken from vendor sources otherwise, and is "unknown" when neith
• get_model ~110 tokens
  One 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.
• list_tasks ~83 tokens
  The 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.

Browse

• OCR (text from images)
• Text to speech
• Speech to text
• Music and audio

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