MCP server

Gguf

io.github.arose26/gguf-mcp

Checked 26 Oct 2026, 08:31 UTC · Still published on its registry; checked against OSV.dev; never run by us

Inspect local GGUF/safetensors models: quantization, params, VRAM fit — headers only.

Runs on your computer

Source

At a glance

Type: MCP server
Publisher: Not verified
Status: Runs on your computer
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code
Last checked: 26 Oct 2026, 08:31 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. It then runs the package on your computer with your permissions. For other apps, copy the setup below.

Claude Code

claude mcp add gguf-mcp -- npx -y gguf-mcp@0.1.1

Claude Desktop

{"mcpServers":{"gguf-mcp":{"command":"npx","args":["-y","gguf-mcp@0.1.1"]}}}

Codex (config.toml)

[mcp_servers.gguf-mcp]
command = "npx"
args = ["-y","gguf-mcp@0.1.1"]

Gemini CLI

{"mcpServers":{"gguf-mcp":{"command":"npx","args":["-y","gguf-mcp@0.1.1"]}}}

Cursor

{"mcpServers":{"gguf-mcp":{"command":"npx","args":["-y","gguf-mcp@0.1.1"]}}}

VS Code

{"servers":{"gguf-mcp":{"type":"stdio","command":"npx","args":["-y","gguf-mcp@0.1.1"]}}}

Runs on your computer with your permissions: check the package and its source before installing.

Browse

Related MCP servers

DEEPBOM
Browser-local and CLI static evidence for deployed AI model artifacts.
Vetted Consumer
Will a local LLM run on your hardware? GGUF quant, buy-vs-rent-vs-API cost, used-GPU prices.
AI Compute Radar
Which open models fit your GPU or Mac, measured. Model momentum, GPU rental prices, weekly pick.
Model Ruler — AI Cost Calculators
Read-only AI/LLM cost tools with current MCP discovery and attributable Registry transport.
MakerPortal compute
Deterministic engineering solvers: biquad filter design, room eigenmodes, LLM VRAM fit.
SoftPerceptron
AI model/agent directory with pricing and comparisons, plus GPU VRAM fit and tokens/sec estimates.
FitLLM
Will this LLM fit on your GPU, multi-GPU rig or Mac? Exact VRAM & KV-cache math. Read-only.
Model Tested
Independent test scores for open-weight LLMs: best model for your GPU or Mac, comparisons.

Badge for your README

[![AptLynx](https://aptlynx.net/badge/io.github.arose26/gguf-mcp.svg)](https://aptlynx.net/servers/io.github.arose26/gguf-mcp)

Listing text is written by the maker; AptLynx lists tools and does not vouch for them. Find another tool · Browse by topic · For agents