Connect-MCP

LMX Cloud LLM Inference

io.lmxcloud/mcp-server · v0.1.0

OpenAI-compatible LLM MCP (7 tools); chat via balance key or x402 USDC on Base

MCPremoteno credentialsWeb search & scraping

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 9 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 95/100

What it does: 9 tools · 5 read, 0 write · Web search & scraping

Test call list_models: worked (1,094 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: 0
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://mcp.lmxcloud.io/mcp

Tools

9 tools listed at last check
  • get_pricing Fetch current LMX Cloud per-call pricing catalog.
  • quote_price Estimate USDC cost for a single model call. Uses GET /v1/pricing with model and token params.
  • list_models List currently supported LMX model aliases and providers.
  • get_status Fetch LMX Cloud provider health, fallback chain, and anchoring status.
  • get_balance Fetch USD credit balance for the caller API key. Requires authentication.
  • get_usage Fetch request and token usage totals for the caller API key. Requires authentication.
  • web_search Real-time web search via LMX (Brave Search passthrough). Fixed per-call USDC price from the caller's API key balance. Returns title/url/snippet results.
  • extract_pdf Extract text and light structure (title, headings, page count) from a PDF via LMX pdf-extract. Provide file_url and/or file_base64. Requires a real LMX API key (same gate as web_search).
  • chat_completion Call LMX Cloud OpenAI-compatible chat completions. Prefers a pre-funded API key (Bearer / api_key); when omitted and x402 is enabled, requires a USDC pay-per-call payment. Optional image_url / images enable vision input (OpenAI content-parts format) — use a vision model such as llama-3.2-90b-vision,

Badge

Connect-MCP badge for io.lmxcloud/mcp-server

Markdown for your README
[![Connect-MCP](https://clawy.uk/mcp/badge/io.lmxcloud/mcp-server.svg)](https://clawy.uk/mcp/s/io.lmxcloud/mcp-server)