MCP server

Attic Standard Official

io.github.AtticStandard/atom-mcp-server

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

The global price benchmark for AI inference: 23 price indexes, market KPIs and SKU-level prices.

Website Source

At a glance

Type

MCP server

Publisher

atticstandard.com (verified by the MCP Registry)

Status

Working at last check

Tools

11

Token cost

About 3,889 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 atom-mcp-server https://mcp.atticstandard.com/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.atom-mcp-server]
url = "https://mcp.atticstandard.com/mcp"

Gemini CLI

{"mcpServers":{"atom-mcp-server":{"httpUrl":"https://mcp.atticstandard.com/mcp"}}}

Cursor

{"mcpServers":{"atom-mcp-server":{"url":"https://mcp.atticstandard.com/mcp"}}}

VS Code

{"servers":{"atom-mcp-server":{"type":"http","url":"https://mcp.atticstandard.com/mcp"}}}

Antigravity

agy mcp add atom-mcp-server https://mcp.atticstandard.com/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":"atom-mcp-server","server_url":"https://mcp.atticstandard.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"atom-mcp-server","server_url":"https://mcp.atticstandard.com/mcp"}

Tools

• compare_prices ~401 tokens
  The same model, or a whole family, priced across every vendor that sells it: cheapest and dearest offer, vendor count and spread ratio for each direction, plus each offer with its channel. Free tier returns counts, ranges and redacted samples; Attic Standard MCP PRO ($500/month, https://atticstandar
• get_index_benchmarks ~510 tokens
  The Attic Standard price indexes for AI inference: every published index at the week the site shows. Six families: Modality (text, multimodal, image, video, audio, voice, embeddings), Channel (model developers, cloud marketplaces, inference platforms, neoclouds), Tier (flagship, core, compact), Lic
• get_index_constituents ~274 tokens
  What sits inside an index basket this week. Free tier: the composition (SKUs, models and vendors, split by channel, origin, tier and license). Attic Standard MCP PRO: the model-by-model basket with the vendors selling each model. Examples: - "What is in the flagship index?" -> index_code="FLG"
• get_kpis ~292 tokens
  The nine market KPIs Attic Standard publishes each week. - Price structure: output premium, caching discount, caching availability - Price dynamics: repricing activity, repricing depth, post-launch drift - Competition: multi-vendor spread, first-party premium, marketplace premium Each KPI returns i
• get_market_stats ~256 tokens
  Coverage of the tracked market (active vendors by channel, countries, models, priced SKUs, published indexes) and price distributions split by modality, unit and direction. Free tier returns counts, ranges and redacted samples; Attic Standard MCP PRO ($500/month, https://atticstandard.com/mcp) retur
• get_model_detail ~234 tokens
  One model in depth: specs (creator, origin, tier, license, context window, output limit, training cutoff, modalities), the Attic Standard indexes it belongs to, and its price at every vendor. Free tier returns counts, ranges and redacted samples; Attic Standard MCP PRO ($500/month, https://atticstan
• get_model_intelligence ~201 tokens
  Six capability and coverage measures drawn from the metadata behind every tracked model: reasoning tier share, long-context saturation, frontier context ceiling, output ceiling spread, training cutoff lag and vendor modality breadth. Read alongside the market KPIs, they explain why models are priced
• get_price_history ~420 tokens
  Weekly history. With index_code: the index series (benchmark level, May 2026 = 100, and the spot price with its 25th and 75th percentiles) for up to 260 weeks; free. With model_name: every vendor's price for that model week by week, showing when each SKU was repriced; Attic Standard MCP PRO. Token
• get_vendor_catalog ~334 tokens
  Everything one vendor sells: channel, country, pricing page, model and SKU counts, and the full price list. Free tier returns counts, ranges and redacted samples; Attic Standard MCP PRO ($500/month, https://atticstandard.com/mcp) returns vendor names, model names and exact prices. Token prices are p
• list_vendors ~248 tokens
  Every vendor in the Attic Standard fleet with its channel (model developer, cloud marketplace, inference platform or neocloud), country, region and pricing page. Filter by channel, region or country.
• search_models ~719 tokens
  Search every priced SKU by modality, vendor, channel, creator, family, tier, license, origin, reasoning, open weights, direction, maximum price and minimum context window. Cheapest first. Free tier returns counts, ranges and redacted samples; Attic Standard MCP PRO ($500/month, https://atticstandard

Browse

• GitHub tools
• Atom tools
• GitHub and code hosting
• Searching your documents (RAG)
• Calling other AI models

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