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atom-mcp-server

v1.1.2

Published

ATOM Inference Price Index — AI pricing intelligence for agents and developers. 1,600+ SKUs, 40+ vendors, 14 AIPI indexes, 8 tools.

Downloads

352

Readme


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