AI Inference Pricing Intelligence — delivered as a native tool for AI agents.
1,600+ SKUs · 40+ vendors · 6 modalities · 4 channels · 14 AIPI indexes · Updated weekly
Website · ATOM MCP Pro · Smithery
--- ## 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)](https://a7om.com) — 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](https://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 ```json { "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):** ```json { "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. ```bash 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: ```json { "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) [](https://railway.app/template) 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](https://a7om.com/mcp) · [ATOM Terminal](https://a7om.com/terminal) · [ATOM Feed](https://a7om.com/feed) --- ## License MIT ---ATOM — The Global Price Benchmark for AI Inference.