
ATOM plugs independent AI inference pricing data directly into Claude, Cursor, and other MCP clients. It surfaces 1,600+ SKUs across 40+ vendors through tools like search_models, compare_prices, and get_vendor_catalog, plus 14 AIPI price indexes that track text, multimodal, reasoning, and open-source inference costs using financial index methodology. The free tier gives you aggregates, ranges, and benchmarks. Pro unlocks granular per-vendor SKU data. Useful when you're evaluating providers, optimizing inference spend, or need to answer questions like "what's the cheapest way to run this model" with real numbers instead of guesses. Connects via hosted SSE endpoint or local stdio.
Public tool metadata for what this MCP can expose to an agent.
search_modelsSearch and filter AI inference models across 40+ vendors and 1,600+ SKUs. Query by modality (Text, Image, Audio, Video, Multimodal), vendor, creator, model family, open-source status, price range, context window, and parameter count. Returns matching models with pricing. Free...12 paramsSearch and filter AI inference models across 40+ vendors and 1,600+ SKUs. Query by modality (Text, Image, Audio, Video, Multimodal), vendor, creator, model family, open-source status, price range, context window, and parameter count. Returns matching models with pricing. Free...
_atom_api_keystringcreatorstringdirectionstringInput · Output · Cached Inputlimitintegermax_pricenumbermin_context_windowintegermin_parameter_countstringmodalitystringmodel_familystringoffsetintegeropen_sourcestringvendorstringget_model_detailDeep dive on a single AI model: technical specs + pricing across all vendors. Returns model_registry data (context window, parameters, open-source status, training cutoff, model family) plus all SKU pricing across every vendor that offers this model. Examples: - "Tell me every...2 paramsDeep dive on a single AI model: technical specs + pricing across all vendors. Returns model_registry data (context window, parameters, open-source status, training cutoff, model family) plus all SKU pricing across every vendor that offers this model. Examples: - "Tell me every...
_atom_api_keystringmodel_namestringcompare_pricesCross-vendor price comparison for a specific model or model family. Shows the same model (or family) priced across different vendors, sorted cheapest first. Essential for cost optimization and vendor selection. Examples: - "Compare Llama 3.1 70B pricing across vendors" → model...6 paramsCross-vendor price comparison for a specific model or model family. Shows the same model (or family) priced across different vendors, sorted cheapest first. Essential for cost optimization and vendor selection. Examples: - "Compare Llama 3.1 70B pricing across vendors" → model...
_atom_api_keystringdirectionstringInput · Output · Cached Inputlimitintegermodalitystringmodel_familystringmodel_namestringget_vendor_catalogFull catalog for a specific vendor: all models, modalities, and pricing. Returns vendor metadata (country, region, pricing page URL) plus every model and SKU they offer. Examples: - "What does Together AI sell?" → vendor="Together AI" - "OpenAI's text model pricing" → vendor="...5 paramsFull catalog for a specific vendor: all models, modalities, and pricing. Returns vendor metadata (country, region, pricing page URL) plus every model and SKU they offer. Examples: - "What does Together AI sell?" → vendor="Together AI" - "OpenAI's text model pricing" → vendor="...
_atom_api_keystringdirectionstringInput · Output · Cached Inputlimitintegermodalitystringvendorstringget_market_statsAggregate AI inference market intelligence. Returns total vendor/model/SKU counts, price distribution (median, mean, quartiles, min/max), and modality breakdown. Optionally filter by modality. Examples: - "AI inference market overview" → (no params) - "Text model pricing stati...2 paramsAggregate AI inference market intelligence. Returns total vendor/model/SKU counts, price distribution (median, mean, quartiles, min/max), and modality breakdown. Optionally filter by modality. Examples: - "AI inference market overview" → (no params) - "Text model pricing stati...
_atom_api_keystringmodalitystringget_index_benchmarksAIPI (ATOM Inference Price Index) — chained matched-model price benchmarks for AI inference. Returns benchmark prices across index families (Text, Image, Audio, Video, Multimodal, Composite) with input, cached, and output pricing per period. These are market-wide benchmarks, n...4 paramsAIPI (ATOM Inference Price Index) — chained matched-model price benchmarks for AI inference. Returns benchmark prices across index families (Text, Image, Audio, Video, Multimodal, Composite) with input, cached, and output pricing per period. These are market-wide benchmarks, n...
_atom_api_keystringindex_categorystringindex_codestringlimitintegerget_kpisATOM Inference Price Index (AIPI) market-level KPIs. Returns 6 key performance indicators derived from 1,600+ SKUs: - Output Premium: how much more output tokens cost vs input - Caching Savings: average discount for cached input pricing - Open Source Advantage: price differenc...1 paramsATOM Inference Price Index (AIPI) market-level KPIs. Returns 6 key performance indicators derived from 1,600+ SKUs: - Output Premium: how much more output tokens cost vs input - Caching Savings: average discount for cached input pricing - Open Source Advantage: price differenc...
_atom_api_keystringlist_vendorsList all 41 AI inference vendors tracked by ATOM. Returns vendor name, country, region, and pricing page URL. Optionally filter by region or country. Examples: - "List all vendors" → (no params) - "European AI vendors" → region="Europe" - "Chinese AI vendors" → country="China"3 paramsList all 41 AI inference vendors tracked by ATOM. Returns vendor name, country, region, and pricing page URL. Optionally filter by region or country. Examples: - "List all vendors" → (no params) - "European AI vendors" → region="Europe" - "Chinese AI vendors" → country="China"
_atom_api_keystringcountrystringregionstring
The Global Price Benchmark for AI Inference, as a native tool for AI agents.
One number both sides trust.
Website · Methodology · MCP PRO
Attic Standard is the independent price reporting agency for AI inference. Every week it records the published prices of model developers, cloud marketplaces, inference platforms and neoclouds, and turns them into price indexes and market KPIs.
This server puts that data inside any MCP-compatible assistant (Claude, ChatGPT, Cursor, Windsurf, VS Code). Ask "Where is text inference priced this week?" or "Cheapest place to run Llama 3.3 70B?" and the assistant answers from the published benchmark instead of guessing.
23 published indexes in six families, each reported for input, cached input and output where the modality has them.
| Family | Indexes | What it answers |
|---|---|---|
| Modality | Text, Multimodal, Image (per image), Image (per megapixel), Video (per second), Video (per clip), Audio, Voice, Embeddings | What does this kind of inference cost? |
| Channel | Model developers, Cloud marketplaces, Inference platforms, Neoclouds | Where is it cheapest to buy? |
| Tier | Flagship, Core, Compact | What does a place higher in a maker's lineup cost? |
| License | Open weights, Restricted weights, Proprietary | What is the price of openness? |
| Origin | United States, China | How do the two model-building countries price? |
| Use case | Reasoning, Coding | What do specialist models cost? |
Each index carries two numbers:
Token prices are per 1,000 tokens. Other modalities use their own unit.
| Tool | Tier | What it returns |
|---|---|---|
get_index_benchmarks | Free | Every published index at the current week: benchmark level and changes, spot price, range and changes, coverage with the May 2026 basket |
get_price_history | Free / PRO | Weekly index series with the spot price and its range (free); week-by-week price of a model at every vendor, with each repricing (PRO) |
get_kpis | Free | The nine market KPIs: output premium, caching discount, caching availability, repricing activity, repricing depth, post-launch drift, multi-vendor spread, first-party premium, marketplace premium |
get_model_intelligence | Free | Six capability measures: reasoning tier share, long-context saturation, context ceiling, output ceiling spread, training cutoff lag, vendor modality breadth |
get_index_constituents | Free / PRO | What is inside an index basket: composition by channel, origin, tier and license (free); model-by-model basket with vendors (PRO) |
get_market_stats | Free / PRO | Coverage (vendors by channel, models, SKUs, indexes) and price distributions by modality, unit and direction; vendor breakdown on PRO |
list_vendors | Free | The vendor fleet with channel, country and pricing page |
search_models | Free / PRO | Search every priced SKU by modality, vendor, channel, creator, family, tier, license, origin, reasoning, price and context |
get_model_detail | Free / PRO | One model's specs, the indexes it belongs to, and its price at every vendor |
compare_prices | Free / PRO | One model or family across all vendors: cheapest, dearest and spread per direction, with every offer on PRO |
get_vendor_catalog | Free / PRO | One vendor's channel, coverage and full price list |
| Free | MCP PRO | |
|---|---|---|
| Indexes, index history, market KPIs, model intelligence | Full | Full |
| Vendor list and market coverage | Full | Full |
| Index baskets | Composition counts | Model and vendor detail |
| Search, model detail, comparisons, catalogs, model price history | Counts, ranges, redacted samples | Vendor names, model names, exact prices |
| Price | $0 | $500/month |
The free tier carries everything atticstandard.com publishes. PRO adds the vendor- and SKU-level detail behind it. Subscribe at atticstandard.com/mcp.
Settings → Connectors → Add custom connector
Name: Attic Standard
URL: https://mcp.atticstandard.com/mcp
{
"mcpServers": {
"attic-standard": {
"url": "https://mcp.atticstandard.com/mcp"
}
}
}
If your client does not accept a remote URL, use the proxy:
{
"mcpServers": {
"attic-standard": {
"command": "npx",
"args": ["mcp-remote", "https://mcp.atticstandard.com/mcp"]
}
}
}
Connections made with the earlier address, https://atom-mcp-server-production.up.railway.app/mcp, keep working.
PRO subscribers receive a key. Tell your assistant to pass it as _atom_api_key on each call, or keep it in a project instruction such as "Use my Attic Standard key XXXX for every Attic Standard tool call."
The hosted server above is the supported way to connect. The code is open so you can see exactly what it reads and how it gates data.
| Variable | Required | Description |
|---|---|---|
SUPABASE_URL | Yes | Database URL |
SUPABASE_SERVICE_ROLE_KEY | Yes (hosted) | Server-side database key, set only in the host's environment |
TRANSPORT | No | stdio (default) or http |
PORT | No | HTTP port (default 3000) |
Stack: TypeScript, Node.js, MCP SDK, Express, Zod, Supabase over REST.
Attic Standard publishes the global price benchmark for AI inference: independent, methodology-led and updated weekly across the model developers, cloud marketplaces, inference platforms and neoclouds that sell inference. The name refers to the Attic silver-weight standard of the ancient Greek world, a common measure both sides of a trade accepted.
Products: MCP · Terminal · Feed
Contact: info@atticstandard.com
MIT