INDIVIDUAL MCP TOOL

identify_rauta

Identify this Rauta MCP backend before diagnosing auth or scope errors.

rauta.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://gateway.rauta.ai/mcp

No auth detected

Connect to this endpoint to inspect the live schema for identify_rauta and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.rauta-gateway]
url = "https://gateway.rauta.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "rauta-gateway": {
      "type": "http",
      "url": "https://gateway.rauta.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: rauta-gateway
Remote MCP URL: https://gateway.rauta.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "rauta-gateway": {
      "url": "https://gateway.rauta.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "rauta-gateway": {
      "type": "http",
      "url": "https://gateway.rauta.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "rauta-gateway",
  "transport": "streamable-http",
  "url": "https://gateway.rauta.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

signup — Start creating a Rauta gateway account.
verify_signup — STEP 2 OF 2: complete signup with the 6-digit code the user received by email.
list_gpus — List GPU types currently available across providers, with per-provider price, region, and availability.
lookup_model — Look up a Hugging Face model: parameter count, context window, VRAM needed at fp16/int8/int4, and which market GPUs can fit it.
recommend_workload — Recommend the best provider+GPU for a workload.
leaderboard — Inference leaderboard for one category: 'cloud' (GPU rental providers), 'hardware' (raw GPU types), or 'inference' (serverless inference APIs).
cold_start_stats — Real provisioning (cold-start) latency AND supply health per provider+GPU: p50/p95/min provision time, success/error counts, failure rate, and — for every failing bucket — the actionable cause.
compare_providers — Cross-provider time series of TTFT p50/p95, latency, tokens/sec and availability.