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rauta.ai

Manages Rauta gateway accounts and provides GPU availability and model compatibility lookup for AI workloads.

2 endpoints25 known toolsFirst detected August 6, 2026Last detected September 6, 2026

ENDPOINT 1

https://gateway.rauta.ai/mcp

No auth detected

MCP server metadata

Name
rauta-gateway
Version
0.1.0
Capabilities
toolsresources

Known tools 15

identify_rauta

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

Inferred read-only
signup

Start creating a Rauta gateway account.

Inferred read-only
verify_signup

STEP 2 OF 2: complete signup with the 6-digit code the user received by email.

Potential side effects
list_gpus

List GPU types currently available across providers, with per-provider price, region, and availability.

Inferred read-only
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.

Inferred read-only
recommend_workload

Recommend the best provider+GPU for a workload.

Inferred read-only
leaderboard

Inference leaderboard for one category: 'cloud' (GPU rental providers), 'hardware' (raw GPU types), or 'inference' (serverless inference APIs).

Inferred read-only
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.

Inferred read-only
compare_providers

Cross-provider time series of TTFT p50/p95, latency, tokens/sec and availability.

Inferred read-only
ask_advisor

Ask the Rauta Advisor for a single opinionated, prose recommendation grounded in the same live data.

Inferred read-only
hardware_catalog

Look up purchase / ownership prices for AI accelerators (H100, B200, GB200 NVL72, MI300X, etc.).

Potential side effects
procurement_channels

List buy-side procurement entities (OEMs, distributors, VARs, brokers, colo, etc.) with how_to_buy and buy_url.

Inferred read-only
buy_vs_reserve

Recommend buy (OEM) vs reserve (neocloud) given utilization, horizon, GPU class, and datacenter readiness.

Inferred read-only
connect_rauta

Start account connection for this Rauta Gateway connector.

Inferred read-only
send_feedback

Report a bug or something broken about Rauta WITHOUT AN ACCOUNT -- including when signup or setup is itself the thing that is broken, which is the case this exists for.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

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.

ENDPOINT 2

https://mcp.rauta.ai/mcp

No auth detected

MCP server metadata

Name
rauta-market
Version
0.0.1
Capabilities
tools
Server instructions

Rauta tools return real, benchmarker-sourced GPU market + provisioning data. Never invent prices, latencies, or availability — call a tool. Surface real failure rates (e.g. a provider at 0% provision success) rather than hiding providers. Use MCP hosts mcp.rauta.ai / gateway.rauta.ai only (legacy *.infra-arena.ai hosts detach 2026-08-10).

Known tools 10

list_gpus

List GPU types currently available across providers, with per-provider price, region, and availability.

Inferred read-only
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.

Inferred read-only
recommend_workload

Recommend the best provider+GPU for a workload.

Inferred read-only
leaderboard

Inference leaderboard for one category: 'cloud' (GPU rental providers), 'hardware' (raw GPU types), or 'inference' (serverless inference APIs).

Inferred read-only
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.

Inferred read-only
compare_providers

Cross-provider time series of TTFT p50/p95, latency, tokens/sec and availability.

Inferred read-only
ask_advisor

Ask the Rauta Advisor for a single opinionated, prose recommendation grounded in the same live data.

Inferred read-only
hardware_catalog

Look up purchase / ownership prices for AI accelerators (H100, B200, GB200 NVL72, MI300X, etc.).

Potential side effects
procurement_channels

List buy-side procurement entities (OEMs, distributors, VARs, brokers, colo, etc.) with how_to_buy and buy_url.

Inferred read-only
buy_vs_reserve

Recommend buy (OEM) vs reserve (neocloud) given utilization, horizon, GPU class, and datacenter readiness.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

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

Codex

~/.codex/config.toml

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

.mcp.json

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

Settings → Connectors → Add custom connector

Name: rauta-market
Remote MCP URL: https://mcp.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-market": {
      "url": "https://mcp.rauta.ai/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code 
{
  "servers": {
    "rauta-market": {
      "type": "http",
      "url": "https://mcp.rauta.ai/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

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

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

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.