io.xportlPublished by xportl.ioOfficial publisherv1.2.0Updated Oct 26, 2026
GPU fabric tools: NCCL benchmark analysis, degradation cost, cluster compatibility, XportL facts.
XportL's remote MCP server gives an assistant tools to analyze NCCL benchmark results, estimate GPU fabric degradation costs, check cluster compatibility and…
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/io.xportl%2Fxportl/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Add this to your client's mcpServers config.
{
"mcpServers": {
"xportl": {
"type": "http",
"url": "https://xportl.io/mcp"
}
}
}XportL Overview
Returns cite-ready facts about XportL from xportl.io: what it does, the problem it solves, the seven failure classes it detects, how it collects telemetry and acts, supported fabrics/GPUs/collectives/kernels, use cases, FAQ, company details (parent company, stage, NVIDIA Inception, contacts) and links to the engineering guides on xportl.io.
topicNCCL Benchmark Analyzer
Analyzes nccl-tests / rccl-tests results (paste raw all_reduce_perf output, or give size/busbw points). Detects node and GPU counts from the output, compares large-message bus bandwidth with the fabric's NIC line rate (InfiniBand HDR/NDR/XDR, RoCE 100G to 800G), and flags data errors, degraded bandwidth, dips as message size grows and unstable run-to-run results, with likely causes. Returns a health status and a bandwidth-loss figure for calculate_fabric_degradation_cost.
nodesfabricresultslink_gbpscollectiveraw_outputgpus_per_nodenics_per_nodeexpected_busbw_gbsFabric Degradation Cost Calculator
Estimates what silent fabric degradation (slow NCCL collectives, flapping links, congestion) costs a GPU cluster: throughput lost, GPU-hours and dollars per year, idle-GPU equivalent, cost per degraded hour, extra days on a training run, and the value of a recovery scenario with a conservative case and a sensitivity table. All assumptions are inputs with stated defaults.
gpu_countrequiredgpu_modelrecovery_pctcomm_share_pctutilization_pctdegraded_time_pctgpu_hour_cost_usdtraining_run_daysbandwidth_loss_pctCluster Compatibility Check
Checks a GPU cluster against XportL's published support matrix (Linux 5.8+ for eBPF, InfiniBand / RoCE v2 / NVLink, NVIDIA and AMD GPUs, NCCL / RCCL, on-prem / cloud / hybrid, host access for the eBPF agent). Returns a verdict (good fit / needs review / not ready), each check, and next steps. Anything not on the published list is reported as 'review', never as supported.
fabricsrequiredhost_osgpu_countdeploymentrequiredgpu_vendorrequiredhost_accesslinux_kernelorchestratorcollective_libraryCheckpoint Interval Advisor
Recommends how often to checkpoint a training job using the Young and Daly formulas, from GPU count, blocking checkpoint write time, restart time and job MTTF (estimated from Meta's published 2024 reliability data when not given). Returns the recommended interval, expected failures per day, GPU time wasted per day at the recommended and current intervals, and the daily saving.
gpu_countrequiredjob_mttf_hoursrestart_minutesgpu_hour_cost_usdcheckpoint_write_minutesrequiredcurrent_interval_minutesRequest an Enterprise Demo
Sends the user's contact details and cluster summary to the XportL enterprise team to arrange a technical assessment or demo deployment. Before calling: collect name, work email, company and a summary (include benchmark, cost or compatibility results from this conversation), show the user exactly what will be sent, and get their explicit agreement. Never call it without that agreement or with made-up details.
namerequiredroleemailrequiredphonefabriccompanyrequiredsummaryrequiredinterestrequiredcluster_gpususer_confirmedrequired83% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.
A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.