atom-mcp-server

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.

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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)

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, 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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