Back to search
100
MCP live MCP 2025-11-25 streamable-http

Playwright MCP Server

run.fitllm/fitllm

Will this LLM fit on your GPU, multi-GPU rig or Mac? Exact VRAM & KV-cache math. Read-only.

Watch this dependency

Get before/after evidence when observed tools, schemas, authentication access, availability or the endpoint changes.

Inspect evidence and set up a watch Share public evidence report
Uptime
100.0%
5 direct probes · 30d
Response
659ms
last probe
Tools
3
callable
Resources
4
readable
Prompts
0
available
Primary URL
https://fitllm.run/api/mcp
Score: 100/100
Handshake verified by our own probe.
why this score
pass Answers the MCP handshake 50/50
The handshake and the list calls succeeded on the primary URL.
pass Lists tools, resources or prompts 30/30
3 tools, 4 resources, 0 prompts returned.
pass 3 or more catalogue items 10/10
7 items in total; 3 or more earns these points.
pass Describes itself 10/10
91 characters; more than 30 earns these points.

Tools · 3

check_llm_fit

Check whether a specific local LLM fits in the memory of a specific GPU or Apple Silicon Mac. Returns fits/tight/won't-fit verdict with the memory breakdown (weights, KV cache, linear-attention state …

what_fits_on_hardware

Rank which popular local LLMs fit on a given GPU or Apple Silicon Mac (at ~4-bit quantization, 8K context) — models that fit come first, biggest first, with max context each. Use when a user asks "wha…

list_supported

List the built-in model names and hardware names this fit-checker knows (for mapping user wording to exact names). Standard text-only HuggingFace transformer configs can also be checked via fitllm.run…

Resources · 4

models

Built-in local LLM catalog with the architecture fields the fit engine uses (layers, KV heads/dims, sliding window, MLA, hybrid attention, MoE). JSON.

fitllm://models
hardware

GPUs (VRAM, bandwidth, source-cited) and Apple Silicon chips (unified memory tiers) known to the engine. JSON.

fitllm://hardware
census

Model × device × quant verdicts computed by the engine — starter matrix inline; full CSV/JSON at fitllm.run/data. CC0 data.

fitllm://census
engine

The open MIT calculation engine behind every verdict: source, npm package, conformance vectors, versions. Agents may fetch and run it directly.

fitllm://engine

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "playwright_mcp_server": {
      "url": "https://fitllm.run/api/mcp",
      "transport": "streamable-http"
    }
  }
}