MCP server

DeepInfra MCP by usefulapi

io.usefulapi/deepinfra

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

usefulapi.io (verified by the MCP Registry)

Status

Working at last check

Tools

18

Token cost

About 2,299 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http deepinfra https://deepinfra.usefulapi.io/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.deepinfra]
url = "https://deepinfra.usefulapi.io/mcp"

Gemini CLI

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

Cursor

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

VS Code

{"servers":{"deepinfra":{"type":"http","url":"https://deepinfra.usefulapi.io/mcp"}}}

Antigravity

agy mcp add deepinfra https://deepinfra.usefulapi.io/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"deepinfra","server_url":"https://deepinfra.usefulapi.io/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"deepinfra","server_url":"https://deepinfra.usefulapi.io/mcp"}

Tools

• deepinfra_get_account ~103 tokens
  Get the current DeepInfra account / user details (identity, email, quotas). DeepInfra REST: GET /v1/me.
• deepinfra_get_deployment ~107 tokens
  Get one dedicated deployment by id (config + current status). DeepInfra REST: GET /deploy/{deploy_id}.
• deepinfra_get_deployment_stats ~196 tokens
  Get time-series stats (throughput / latency / replicas) for a dedicated deployment. DeepInfra REST: GET /deploy/{deploy_id}/stats2.
• deepinfra_get_gpu_availability ~123 tokens
  Get GPU availability for LLM deployments (which hardware can currently be provisioned). DeepInfra REST: GET /deploy/llm/gpu_availability.
• deepinfra_get_hardware ~111 tokens
  Get the hardware options / GPU configuration available for a given model. DeepInfra REST: GET /v2/hardware.
• deepinfra_get_live_metrics ~82 tokens
  Get global live inference metrics across the account (real-time throughput / activity). DeepInfra REST: GET /v1/metrics/live.
• deepinfra_get_model ~161 tokens
  Get one model's catalog entry (pricing, context length, capabilities). DeepInfra REST: GET /models/{model_name}.
• deepinfra_get_rate_limit ~82 tokens
  Get the account's current rate limits (per-model / per-endpoint request and token limits). DeepInfra REST: GET /v1/me/rate_limit.
• deepinfra_get_usage ~153 tokens
  Get spend / usage for a billing period. DeepInfra REST: GET /payment/usage.
• deepinfra_get_usage_rent ~167 tokens
  Get GPU rental (dedicated hardware) usage for a time range. DeepInfra REST: GET /payment/usage/rent.
• deepinfra_get_usage_tokens ~157 tokens
  Get per-model token usage for a period. DeepInfra REST: GET /payment/usage/tokens.
• deepinfra_list_api_tokens ~75 tokens
  List the account's API tokens (metadata only, not secret values). DeepInfra REST: GET /v1/api-tokens.
• deepinfra_list_deployments ~99 tokens
  List the account's dedicated deployments. DeepInfra REST: GET /deploy/list.
• deepinfra_list_invoices ~153 tokens
  List billing invoices for the account. DeepInfra REST: GET /payment/invoices.
• deepinfra_list_models ~70 tokens
  List the DeepInfra model catalog (all available models). DeepInfra REST: GET /models/list.
• deepinfra_query_logs ~206 tokens
  Query inference request logs for a dedicated deployment over a time window. DeepInfra REST: GET /v1/logs/query.
• deepinfra_start_deployment ~130 tokens
  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 ~124 tokens
  Stop (pause) a running dedicated deployment. This halts inference and stops accruing GPU charges for it. DeepInfra REST: POST /deploy/{deploy_id}/stop.

Browse

• Email
• Payments
• Calling other AI models

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