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What This Is

ATOM MCP Server lets any MCP-compatible AI agent (Claude, GPT, Cursor, Windsurf, VS Code Copilot) query live AI inference pricing data programmatically. Built on financial index methodology comparable to S&P Dow Jones, MSCI, and Bloomberg, the ATOM Inference Price Index (AIPI) is the first independent benchmark for the AI inference market.

Ask your AI assistant a question like "What's the cheapest way to run GPT-4o?" and it calls ATOM's tools behind the scenes, returning a data-backed answer pulled from live coverage across the global vendor landscape.


AIPI Indexes

The AIPI index family spans four categories, all calculated weekly using chained matched-model methodology to eliminate composition bias:

Category

Examples

What It Answers

Modality

Text, Multimodal, Image, Audio, Video, Voice

What does this type of inference cost?

Channel

Model Developers, Cloud Marketplaces, Inference Platforms, Neoclouds

Where should you buy: direct, marketplace, platform, or neocloud?

Tier

Frontier, Budget, Mid-Tier, Reasoning

What is the premium for capability?

Special

Open-Source

How much cheaper is open-weight inference?

All indexes are global (GLB) and reported across three pricing directions: input, cached input, output.


Tools

Tool

Tier

Description

list_vendors

Free

All tracked vendors with country, region, channel type, and pricing page URLs

get_kpis

Free

Market KPIs: output premium, caching savings, open-source advantage, context cost curve, caching availability, size spread

get_index_benchmarks

Free

AIPI price benchmarks across all indexes

get_market_stats

Tiered

Aggregate market intelligence: medians, quartiles, distributions, modality breakdown

search_models

Tiered

Multi-filter search: modality, vendor, creator, open-source, price range, context window, parameters

get_model_detail

Tiered

Full specs and pricing across all vendors for a single model

compare_prices

Tiered

Cross-vendor price comparison for a model or model family

get_vendor_catalog

Tiered

Complete catalog for a specific vendor


Pricing Tiers

ATOM MCP (Free)

ATOM MCP Pro

Vendors, KPIs, AIPI indexes

Full data

Full data

Market stats

Aggregates only

Vendor-level breakdown

Model search and comparison

Counts and price ranges

Full granular SKU data

Model detail

Specs only

Per-vendor pricing

Vendor catalog

Summary only

Full SKU listing

Free tier (no API key): enough to understand the market through counts, ranges, distributions, and benchmarks.

ATOM MCP Pro: full granular data across every vendor, model, price, and spec. Subscribe at a7om.com/mcp.


Quick Start

No install required. Connect directly to ATOM's hosted server.

Claude.ai (web): Settings → Connectors → Add custom connector

Name: ATOM Pricing Intelligence
URL:  https://atom-mcp-server-production.up.railway.app/mcp

Claude Desktop: Settings → Developer → Edit Config

{
  "mcpServers": {
    "atom-pricing": {
      "url": "https://atom-mcp-server-production.up.railway.app/mcp"
    }
  }
}

Note: Remote URL support requires a recent Claude Desktop version. If it does not work, use the npx method below.

Claude Desktop (via npx proxy):

{
  "mcpServers": {
    "atom-pricing": {
      "command": "npx",
      "args": ["mcp-remote", "https://atom-mcp-server-production.up.railway.app/mcp"]
    }
  }
}

Option 2: Local (stdio) for Cursor, Windsurf, and similar clients

git clone https://github.com/A7OM-AI/atom-mcp-server.git
cd atom-mcp-server
npm install && npm run build

Add to your MCP client config:

{
  "mcpServers": {
    "atom-pricing": {
      "command": "node",
      "args": ["/path/to/atom-mcp-server/dist/index.js"],
      "env": {
        "SUPABASE_URL": "https://jonncmzxvxzwyaznokba.supabase.co",
        "SUPABASE_ANON_KEY": "your-anon-key"
      }
    }
  }
}

Option 3: Deploy your own (Railway)

Deploy on Railway

Set environment variables in Railway dashboard:

  • SUPABASE_URL

  • SUPABASE_ANON_KEY

  • ATOM_API_KEYS (comma-separated, for paid tier validation)

  • TRANSPORT=http


Example Queries

Once connected, ask your AI assistant in natural language:

  • "What's the cheapest way to run GPT-4o?"

  • "Compare Claude Sonnet 4.5 pricing across all vendors"

  • "Find open-source text models under $0.50 per million tokens"

  • "Show me Google's full model catalog"

  • "What are the AIPI benchmark prices for text inference?"

  • "How do neocloud prices compare to cloud marketplaces?"

  • "How much cheaper is open-source inference?"

  • "Give me a market overview of AI inference pricing"


Environment Variables

Variable

Required

Description

SUPABASE_URL

Yes

Supabase project URL

SUPABASE_ANON_KEY

Yes

Supabase anonymous/public key

ATOM_API_KEYS

No

Comma-separated valid API keys for paid tier

TRANSPORT

No

stdio (default) or http

PORT

No

HTTP port (default 3000)


Tech Stack

  • TypeScript / Node.js

  • MCP SDK (@modelcontextprotocol/sdk)

  • Supabase (PostgreSQL) via REST API

  • Express (HTTP transport)

  • Zod (schema validation)


About ATOM

The Global Price Benchmark for AI Inference. Independent pricing intelligence for developers, analysts, and infrastructure buyers. Transparent methodology, deterministic indexing, weekly market intelligence across the global AI inference market.

ATOM was founded in 2025 by Stamos Kanellakis. The platform is built on financial index methodology comparable to S&P Dow Jones, MSCI, and Bloomberg, and applies that discipline to a market that previously had no pricing benchmark of its own.

Products: ATOM MCP · ATOM Terminal · ATOM Feed


License

MIT


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