atom-mcp-server
Global price benchmarking for AI inference across 2,600+ SKUs from 47 vendors. Query live pricing, market indexes, and model specs via 8 tools. Free tier available.
README
<p align="center"> <img src="https://raw.githubusercontent.com/StamatiosKanellakis/A7OM/main/ATOM_Logo_Gray.png" alt="ATOM" width="200" /> </p>
<h1 align="center">ATOM MCP Server</h1>
<p align="center"> <strong>AI Inference Pricing Intelligence — delivered as a native tool for AI agents.</strong><br/> 1,600+ SKUs · 40+ vendors · 6 modalities · 4 channels · 14 AIPI indexes · Updated weekly </p>
<p align="center"> <a href="https://a7om.com">Website</a> · <a href="https://a7om.com/mcp">ATOM MCP Pro</a> · <a href="https://smithery.ai/server/@a7om/atom-mcp-server">Smithery</a> </p>
What Is This?
ATOM MCP Server lets any MCP-compatible AI agent (Claude, GPT, Cursor, Windsurf, VS Code Copilot) query real-time AI inference pricing data programmatically. Think of it as the Bloomberg Terminal for AI pricing, accessible via the Model Context Protocol.
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 from 1,600+ pricing SKUs across 40+ vendors globally.
Built by ATOM (A7OM) — the world's first methodological inference pricing index.
AIPI Indexes
14 benchmark indexes across four categories:
| Category | Indexes | What It Answers |
|---|---|---|
| Modality | TXT, MML, IMG, AUD, VID, VOC | What does this type of inference cost? |
| Channel | DEV, CLD, PLT, NCL | Where should you buy — direct, marketplace, platform, or neocloud? |
| Tier | FTR, BDG, RSN | What's the premium for flagship vs budget vs reasoning? |
| Special | OSS | How much cheaper is open-source inference across all channels? |
All indexes are global (GLB), calculated weekly using chained matched-model methodology to eliminate composition bias.
Tools
| Tool | Tier | Description |
|---|---|---|
list_vendors |
Free | All tracked vendors with country, region, channel type, and pricing page URLs |
get_kpis |
Free | 6 market KPIs: output premium, caching savings, open-source advantage, context cost curve, caching availability, size spread |
get_index_benchmarks |
Free | AIPI price benchmarks across 14 indexes — modality, channel, tier, and licensing |
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 + 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: all models, modalities, and pricing |
Pricing Tiers
| ATOM MCP (Free) | ATOM MCP Pro ($49/mo) | |
|---|---|---|
| Vendors, KPIs, AIPI indexes | ✅ Full data | ✅ Full data |
| Market stats | Aggregates only | + Vendor-level breakdown |
| Model search & comparison | Counts + 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 — counts, ranges, distributions, benchmarks.
ATOM MCP Pro ($49/mo): Full granular data — every vendor, model, price, and spec. → a7om.com/mcp
Quick Start
Option 1: Remote URL — Claude.ai / 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/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 doesn't 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, etc.
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)
Set environment variables in Railway dashboard:
SUPABASE_URLSUPABASE_ANON_KEYATOM_API_KEYS(comma-separated, for paid tier validation)TRANSPORT=http
Example Queries
Once connected, just ask your AI assistant naturally:
- "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"
- "What are the key market KPIs for AI inference?"
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
ATOM tracks 1,600+ AI inference pricing SKUs from 40+ vendors globally through the AIPI (ATOM Inference Price Index) system — the first methodological price benchmark for AI inference. 14 indexes span modality, channel, tier, and licensing dimensions, updated weekly using chained matched-model methodology to eliminate composition bias.
Vendors are classified across four distribution channels: Model Developers (direct API), Cloud Marketplaces (AWS Bedrock, Google Vertex, Azure), Inference Platforms (DeepInfra, Fireworks, Together AI), and Neoclouds (Groq, Cerebras).
Products: ATOM MCP · ATOM Terminal · ATOM Feed
License
MIT
<p align="center"><strong>ATOM</strong> — <em>The Global Price Benchmark for AI Inference.</em></p>
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