atom-mcp-server
ATOM MCP Server provides AI inference pricing intelligence across 40+ vendors and 1,600+ SKUs, enabling you to query, compare, and analyze costs across the global AI inference market.
List Vendors (
list_vendors): Retrieve all tracked AI inference vendors with country, region, channel type, and pricing page URLs — filterable by region or country.Get Market KPIs (
get_kpis): Access market-level KPIs including output premium, caching savings, open-source advantage, context cost curve, caching availability, and size spread.Get AIPI Index Benchmarks (
get_index_benchmarks): Query the ATOM Inference Price Index (AIPI) across 14 benchmarks spanning Modality (Text, Image, Audio, Video, Multimodal, Voice), Channel (Model Developers, Cloud Marketplaces, Inference Platforms, Neoclouds), Tier (Frontier, Budget, Reasoning), and Open-Source categories.Get Market Statistics (
get_market_stats): Retrieve aggregate intelligence including vendor/model/SKU counts, price distributions (median, mean, quartiles, min/max), and modality breakdowns.Search Models (
search_models): Filter AI models by modality, vendor, creator, model family, open-source status, price range, context window, and parameter count.Get Model Detail (
get_model_detail): Deep dive into a specific model's technical specs and pricing across all vendors offering it.Compare Prices (
compare_prices): Cross-vendor price comparison for a model or model family, sorted cheapest first — ideal for cost optimization.Get Vendor Catalog (
get_vendor_catalog): Browse a specific vendor's full catalog of models, modalities, and pricing, with optional filtering.
Provides access to comprehensive model catalogs and pricing intelligence for Google's AI inference services.
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 |
| Free | All tracked vendors with country, region, channel type, and pricing page URLs |
| Free | Market KPIs: output premium, caching savings, open-source advantage, context cost curve, caching availability, size spread |
| Free | AIPI price benchmarks across all indexes |
| Tiered | Aggregate market intelligence: medians, quartiles, distributions, modality breakdown |
| Tiered | Multi-filter search: modality, vendor, creator, open-source, price range, context window, parameters |
| Tiered | Full specs and pricing across all vendors for a single model |
| Tiered | Cross-vendor price comparison for a model or model family |
| 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
Option 1: Remote URL for Claude.ai and Claude Desktop (recommended)
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/mcpClaude 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 buildAdd 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)
Set environment variables in Railway dashboard:
SUPABASE_URLSUPABASE_ANON_KEYATOM_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 |
| Yes | Supabase project URL |
| Yes | Supabase anonymous/public key |
| No | Comma-separated valid API keys for paid tier |
| No |
|
| 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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