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LMX Cloud LLM Inference
io.lmxcloud/mcp-server · v0.1.0
No registry update 90+ days
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Not declared (tools carry no read/destructive hints) |
| Capabilities declared | tools |
| Tool definitions | 9 tools · with description 100% · input schema is an object 100% · read/destructive hints 0% |
Description written by the publisher, not verified
OpenAI-compatible LLM MCP (7 tools); chat via balance key or x402 USDC on Base
Connect
streamable-http · https://mcp.lmxcloud.io/mcp
claude mcp add --transport http mcp-server https://mcp.lmxcloud.io/mcp{
"mcpServers": {
"mcp-server": {
"url": "https://mcp.lmxcloud.io/mcp"
}
}
}Tools as reported by the server
get_pricingFetch current LMX Cloud per-call pricing catalog.quote_priceEstimate USDC cost for a single model call. Uses GET /v1/pricing with model and token params.list_modelsList currently supported LMX model aliases and providers.get_statusFetch LMX Cloud provider health, fallback chain, and anchoring status.get_balanceFetch USD credit balance for the caller API key. Requires authentication.get_usageFetch request and token usage totals for the caller API key. Requires authentication.web_searchReal-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_pdfExtract 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_completionCall 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,
JSON · Text for agents · Registry updated 2026-07-14