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90
MCP live MCP 2026-07-28 http

gpu-cost-estimator-enverge

tudor-h9st/gpu-cost-estimator-enverge

Enverge.ai Cost Estimator compares published GPU hourly rates for a workload—fine-tunes, training, or inference—and recommends a tier. Use list-skus for the pricing catalogue and estimate-job-cost with hours (or an illustrative preset). Results include a portal link to launch or request capacity. No API key required.

Watch this dependency Share evidence report
Uptime
100.0%
5 direct probes · 30d
Response
463ms
last probe
Tools
2
callable
Resources
0
readable
Prompts
0
available
Score: 90/100
Handshake verified by our own probe.
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
2 tools, 0 resources, 0 prompts returned.
partial 3 or more catalogue items 0/10
2 items in total; 3 or more earns these points.
How to earn +10 points
Expose at least three tools, resources or prompts
Split a catch-all tool into focused ones, or publish your docs and templates as resources and prompts.
Docs →
pass Describes itself 10/10
318 characters; more than 30 earns these points.

Tools · 2

list-skus

List Enverge GPU tiers from the pricing catalogue, with hourly rates and access type (self_serve vs request_capacity). Use before comparing clouds or recommending a rental.

estimate-job-cost

Estimate on-demand cost for a GPU job across Enverge tiers (e.g. DGX Spark vs B300) using the pricing catalogue. Pass hours, or a workload preset for an illustrative default. Always re-run before laun…

How to use

Claude Desktop or claude.ai: add a custom connector (Customize → Connectors; on Team and Enterprise plans an owner adds it under Organization settings → Connectors) with this server URL: https://enverge.ai/mcp

Cursor or Cline: add to your MCP config:

{
  "mcpServers": {
    "gpu-cost-estimator-enverge": {
      "url": "https://enverge.ai/mcp",
      "transport": "http"
    }
  }
}