MCP server

InferIndex Official

io.github.InferIndex/inferindex

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

LLM API prices across 70+ providers: cheapest offer, comparisons, history and cost estimates.

Website Source

At a glance

Type

MCP server

Publisher

inferindex.dev (verified by the MCP Registry)

Status

Working at last check

Tools

8

Token cost

About 3,985 tokens per request

Sets up in

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

Last checked

26 Oct 2026, 08:29 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 inferindex https://mcp.inferindex.dev/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.inferindex]
url = "https://mcp.inferindex.dev/mcp"

Gemini CLI

{"mcpServers":{"inferindex":{"httpUrl":"https://mcp.inferindex.dev/mcp"}}}

Cursor

{"mcpServers":{"inferindex":{"url":"https://mcp.inferindex.dev/mcp"}}}

VS Code

{"servers":{"inferindex":{"type":"http","url":"https://mcp.inferindex.dev/mcp"}}}

Antigravity

agy mcp add inferindex https://mcp.inferindex.dev/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":"inferindex","server_url":"https://mcp.inferindex.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"inferindex","server_url":"https://mcp.inferindex.dev/mcp"}

Tools

• cheapest ~794 tokens
  Cheapest current API offers for one model across direct providers and aggregators, in USD per 1M tokens (input, output, blended 3:1). Stale prices, and flex/batch tiers, are excluded by default. Optional filters (context, tools, JSON, vision, region, no training on prompts, open sign-up) and usage (
• compare_providers ~717 tokens
  Current offers for one model, one line per provider and source (direct or via an aggregator), cheapest first (10 by default), with price, quantization, signals and training on prompts when published; the cheapest offer comes in detail. Pass detail: "full" for context, every published condition (data
• estimate_cost ~440 tokens
  Estimated cost of a workload on one model at each provider: cost per request, and per month if requests_per_day is given, taking the provider's tiered pricing and prompt-cache price into account. Offers sorted by estimated cost, cheapest first: the cheapest in detail, then one short line per offer w
• gpu_rentals ~384 tokens
  Rental offers for one GPU type: provider, price in USD per GPU per hour, number of GPUs in the published configuration, billing and region when published. One block per tier (guaranteed, community, spot), each with its own cheapest offer, also given per configuration (cheapest_by_gpu_count: the pric
• list_gpus ~131 tokens
  GPU types whose rental price InferIndex tracks (H100, A100, L40S…), with the lowest price per GPU per hour in USD for each tier (guaranteed, community, spot) and the number of GPUs of that configuration. Prices are per GPU per hour, as published by each provider, and dated. Tiers are different produ
• price_history ~346 tokens
  Price history of one model: every offer tracked by InferIndex (daily or weekly min/max/last price in USD, or raw price changes), plus the official price of the model's lab over time. Give either days, or from/to (YYYY-MM-DD), or at (a date) for the prices in effect that day.
• search_models ~111 tokens
  Find the exact id of an LLM tracked by InferIndex from a name or partial name (e.g. 'deepseek', 'qwen3 max', 'claude opus'). Returns matching model ids and names, best match first.
• self_host_or_api ~1062 tokens
  Is it cheaper to host an open-weights model yourself on rented GPUs, or to use the cheapest API offer? Returns a one-sentence verdict (headline) and the numbers behind it: the break-even volume in million tokens per day, the throughput the whole configuration must deliver for self-hosting to cost le

Browse

• Claude tools
• GitHub tools
• Website monitoring
• GitHub and code hosting
• Calling other AI models

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