InferCPI MCP Server

by infercpi Your server? Claim it

answering

InferCPI is answering right now. Last checked 7 min ago. It exposes 10 tools. Last commit 29 Oct 2026.

AI inference price index: token prices, cost per capability, open vs closed, hosts, cost per task.

Uptime history 5 days of history

5 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

152 ms

Response time

average over 24h

Stars

last commit 29 Oct 2026

Nothing serious here today

Today is the operative word: we check InferCPI every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add api --transport http https://infercpi.com/mcp

Settings → Connectors → Add custom connector, then paste this address

https://infercpi.com/mcp

~/.codex/config.toml

[mcp_servers.api]
url = "https://infercpi.com/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "api": {
      "url": "https://infercpi.com/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "api": {
      "type": "http",
      "url": "https://infercpi.com/mcp"
    }
  }
}

Available tools 10

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

index

index_catalogue

Every series the index publishes: signal/key, point count, first and last date, method string.

index_latest

Latest value of every index series (list-price chained/composition/hedonic, usage-weighted paid price, Törnqvist, OpenRouter shares, TPI replica) with dates, the latest editorial note, and the licence/attribution line. Start here.

index_series

basket

basket

Every model priced in this week's list-price index: provider, blended $/1M (0.75 in + 0.25 out), Epoch capability score where matched.

cost

cost_per_task

Monthly measurement: dollars and tokens per completed task for the most-used models (fixed 8-task suite via OpenRouter at default settings, charged cost), reasoning share of output tokens, accuracy, and medians.

events

events

Priced events in first-party price lists, newest first: launch, price_cut, price_increase, removed, each with key, provider, old/new blended $/1M and pct. since: ISO date; kind: filter to one kind.

model

model_price

Blended list $/1M for one model by any common name ('Claude Opus 5.5', 'anthropic/claude-opus-5.5', 'gpt-5.5'); matches by the index's name normaliser and returns every basket entry that matches.

open

open_vs_closed

Cheapest blended $/1M at each capability level (Epoch ECI 130/145/160) for closed models, open models at their lab's price and open models at the cheapest third-party host; the open discount; DeepSeek's floor lift (cheapest price without DeepSeek / cheapest overall, at lab and at host prices); and the host discount per open model (lab price / cheapest host).

self

self_hosting

What it costs per 1M tokens to leave the APIs: desk boxes (Mac Studio lease, RTX 5090 bought) at full and 25% duty, H100 rented by source (Vast, AWS, RunPod, CoreWeave, Lambda, Nebius) and owned, against the API price of the same open model and of the cheapest closed model at equal capability; break-even volume and how far hardware cost must fall. Plus posted GPU-hour prices and Hugging Face download counts.

speed

speed

Latest daily speed run, measured by the index: per model and route (openrouter default routing, openrouter_pinned to the first-party host, anthropic and openai direct), median time to first token (ms), visible output tokens per second, host that served it. Same prompt every day.

Endpoints

URL	Transport	State	Latency	Checked
https://infercpi.com/mcp	streamable-http	answering	182 ms	7 min ago

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InferCPI — questions

Answers built from our own checks of this server.

What can InferCPI do?

It exposes 10 tools, read directly from the server on our last check. Among them: basket, cost_per_task, events, index_catalogue, index_latest, index_series and 4 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is InferCPI working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 152 ms. The bar chart above shows every period we have measured.

How do I connect InferCPI?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does InferCPI need an API key?

No. InferCPI completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 10 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is InferCPI?

It answers our handshake in 152 ms on average, which is faster than 82% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is InferCPI open source?

We cannot say either way: written in Python and 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.