usefulapi

DeepInfra MCP server. Run DeepInfra inference, list models and read account rate limits.

Claude

Open Settings → Connectors → Add custom connector
Paste this URL:
https://deepinfra.usefulapi.io/mcp
Authenticate with DeepInfra when prompted

Cursor · VS Code · Windsurf · Cline

Add to your MCP config, then reload & authorize:

{
  "mcpServers": {
    "deepinfra": {
      "url": "https://deepinfra.usefulapi.io/mcp"
    }
  }
}

live18 toolsFree 100 tool calls / monthPro $9/mo · $90/yr

Tools 18

Tool	Type	What it does
`deepinfra_get_account`	read	Get account Get the current DeepInfra account / user details (identity, email, quotas). DeepInfra REST: GET /v1/me.
`deepinfra_get_rate_limit`	read	Get rate limit Get the account's current rate limits (per-model / per-endpoint request and token limits). DeepInfra REST: GET /v1/me/rate_limit.
`deepinfra_list_api_tokens`	read	List API tokens List the account's API tokens (metadata only, not secret values). DeepInfra REST: GET /v1/api-tokens.
`deepinfra_get_usage`	read	Get usage Get spend / usage for a billing period. DeepInfra REST: GET /payment/usage.
`deepinfra_get_usage_tokens`	read	Get token usage Get per-model token usage for a period. DeepInfra REST: GET /payment/usage/tokens.
`deepinfra_get_usage_rent`	read	Get GPU rental usage Get GPU rental (dedicated hardware) usage for a time range. DeepInfra REST: GET /payment/usage/rent.
`deepinfra_list_invoices`	read	List invoices List billing invoices for the account. DeepInfra REST: GET /payment/invoices.
`deepinfra_list_deployments`	read	List deployments List the account's dedicated deployments. DeepInfra REST: GET /deploy/list.
`deepinfra_get_deployment`	read	Get deployment Get one dedicated deployment by id (config + current status). DeepInfra REST: GET /deploy/{deploy_id}.
`deepinfra_get_deployment_stats`	read	Get deployment stats Get time-series stats (throughput / latency / replicas) for a dedicated deployment. DeepInfra REST: GET /deploy/{deploy_id}/stats2.
`deepinfra_get_gpu_availability`	read	Get GPU availability Get GPU availability for LLM deployments (which hardware can currently be provisioned). DeepInfra REST: GET /deploy/llm/gpu_availability.
`deepinfra_list_models`	read	List models List the DeepInfra model catalog (all available models). DeepInfra REST: GET /models/list.
`deepinfra_get_model`	read	Get model Get one model's catalog entry (pricing, context length, capabilities). DeepInfra REST: GET /models/{model_name}.
`deepinfra_get_hardware`	read	Get hardware Get the hardware options / GPU configuration available for a given model. DeepInfra REST: GET /v2/hardware.
`deepinfra_query_logs`	read	Query logs Query inference request logs for a dedicated deployment over a time window. DeepInfra REST: GET /v1/logs/query.
`deepinfra_get_live_metrics`	read	Get live metrics Get global live inference metrics across the account (real-time throughput / activity). DeepInfra REST: GET /v1/metrics/live.
`deepinfra_start_deployment`	write	Start deployment Start (resume) a dedicated deployment. WARNING: this resumes a dedicated deployment and may incur GPU charges while it runs. DeepInfra REST: POST /deploy/{deploy_id}/start.
`deepinfra_stop_deployment`	write	Stop deployment Stop (pause) a running dedicated deployment. This halts inference and stops accruing GPU charges for it. DeepInfra REST: POST /deploy/{deploy_id}/stop.

Pricing

Plan	Price	Limit
Free	$0	100 tool calls / month
Pro	$9/mo · $90/yr	Unlimited

This is a Model Context Protocol endpoint — meant to be connected from an AI client, not opened in a browser. An invalid_token response at the URL is the auth gate working as designed; clients authenticate automatically.