MCP server
LMX Cloud LLM Inference Official
io.lmxcloud/mcp-server
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
OpenAI-compatible LLM MCP (7 tools); chat via balance key or x402 USDC on Base
Working at last checkVerified publisher: lmxcloud.ioAbout 1,709 tokens per request once connected9 tools
https://mcp.lmxcloud.io/mcp
At a glance
- Type
- MCP server
- Publisher
- lmxcloud.io (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 9
- Token cost
- About 1,709 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
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 lmxcloud https://mcp.lmxcloud.io/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.lmxcloud] url = "https://mcp.lmxcloud.io/mcp"
Gemini CLI
{"mcpServers":{"lmxcloud":{"httpUrl":"https://mcp.lmxcloud.io/mcp"}}}
Cursor
{"mcpServers":{"lmxcloud":{"url":"https://mcp.lmxcloud.io/mcp"}}}
VS Code
{"servers":{"lmxcloud":{"type":"http","url":"https://mcp.lmxcloud.io/mcp"}}}
Antigravity
agy mcp add lmxcloud https://mcp.lmxcloud.io/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":"lmxcloud","server_url":"https://mcp.lmxcloud.io/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"lmxcloud","server_url":"https://mcp.lmxcloud.io/mcp"}
Tools
chat_completion~422 tokens
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,extract_pdf~243 tokens
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).get_balance~122 tokens
Fetch USD credit balance for the caller API key. Requires authentication.get_pricing~115 tokens
Fetch current LMX Cloud per-call pricing catalog.get_status~121 tokens
Fetch LMX Cloud provider health, fallback chain, and anchoring status.get_usage~125 tokens
Fetch request and token usage totals for the caller API key. Requires authentication.list_models~118 tokens
List currently supported LMX model aliases and providers.quote_price~238 tokens
Estimate USDC cost for a single model call. Uses GET /v1/pricing with model and token params.web_search~205 tokens
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.
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