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a7om-ai avatar

ATOM Pricing Intelligence

a7om-ai/atom-mcp-server
8 toolsSTDIO, SSEregistry active
Summary

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.

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Tools

Public tool metadata for what this MCP can expose to an agent.

8 tools
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 params

Search 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...

Parameters* required
_atom_api_keystring
Your ATOM API key for full access. Omit for free tier (redacted data).
creatorstring
Filter by model creator/developer
directionstring
Filter by pricing directionone of Input · Output · Cached Input
limitinteger
Maximum results to return (default 20)default: 20
max_pricenumber
Maximum normalized price (USD per unit)
min_context_windowinteger
Minimum context window in tokens
min_parameter_countstring
Minimum parameter count, e.g. '7B', '70B'
modalitystring
Filter by modality: Text, Image, Audio, Video, Voice, Multimodal, Embedding
model_familystring
Filter by model family, e.g. 'GPT-4o', 'Claude 3.5'
offsetinteger
Offset for paginationdefault: 0
open_sourcestring
Filter by open-source status: 'true' or 'false'
vendorstring
Filter by vendor name, e.g. 'OpenAI', 'Anthropic'
get_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 params

Deep 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...

Parameters* required
_atom_api_keystring
Your ATOM API key for full access. Omit for free tier (redacted data).
model_namestring
Model name to look up, e.g. 'GPT-4o', 'Claude Sonnet 4.5', 'Llama 3.1 70B'
compare_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 params

Cross-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...

Parameters* required
_atom_api_keystring
Your ATOM API key for full access. Omit for free tier (redacted data).
directionstring
Filter by pricing directionone of Input · Output · Cached Input
limitinteger
Maximum results (default 50)default: 50
modalitystring
Filter by modality: Text, Image, Audio, etc.
model_familystring
Model family to compare, e.g. 'GPT-4o', 'Claude 3.5'
model_namestring
Model name to compare prices for, e.g. 'GPT-4o', 'Llama 3.1 70B'
get_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 params

Full 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="...

Parameters* required
_atom_api_keystring
Your ATOM API key for full access. Omit for free tier (redacted data).
directionstring
Optionally filter by pricing directionone of Input · Output · Cached Input
limitinteger
Maximum results (default 50)default: 50
modalitystring
Optionally filter by modality: Text, Image, Audio, Video, Voice, Multimodal
vendorstring
Vendor name, e.g. 'OpenAI', 'Together AI', 'Amazon Bedrock'
get_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 params

Aggregate 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...

Parameters* required
_atom_api_keystring
Your ATOM API key for full access. Omit for free tier (redacted data).
modalitystring
Optionally focus on a specific modality: Text, Image, Audio, Video, etc.
get_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 params

AIPI (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...

Parameters* required
_atom_api_keystring
Your ATOM API key for full access. Omit for free tier (redacted data).
index_categorystring
Filter by index category, e.g. 'Text', 'Image', 'Audio', 'Video', 'Multimodal', 'Composite'
index_codestring
Filter by specific AIPI index code, e.g. 'AIPI-TXT-GLB', 'AIPI-IMG-GLB'. Omit to see all indexes.
limitinteger
Maximum results to return (default 25)default: 25
get_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 params

ATOM 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...

Parameters* required
_atom_api_keystring
Your ATOM API key for full access. Omit for free tier (redacted data).
list_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 params

List 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"

Parameters* required
_atom_api_keystring
Your ATOM API key for full access. Omit for free tier (redacted data).
countrystring
Optionally filter by country, e.g. 'United States', 'China', 'France'
regionstring
Optionally filter by region: 'North America', 'Europe', 'Asia', etc.

Attic Standard MCP Server

The Global Price Benchmark for AI Inference, as a native tool for AI agents.
One number both sides trust.

Website · Methodology · MCP PRO


What this is

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.


The indexes

23 published indexes in six families, each reported for input, cached input and output where the modality has them.

FamilyIndexesWhat it answers
ModalityText, Multimodal, Image (per image), Image (per megapixel), Video (per second), Video (per clip), Audio, Voice, EmbeddingsWhat does this kind of inference cost?
ChannelModel developers, Cloud marketplaces, Inference platforms, NeocloudsWhere is it cheapest to buy?
TierFlagship, Core, CompactWhat does a place higher in a maker's lineup cost?
LicenseOpen weights, Restricted weights, ProprietaryWhat is the price of openness?
OriginUnited States, ChinaHow do the two model-building countries price?
Use caseReasoning, CodingWhat do specialist models cost?

Each index carries two numbers:

  • Benchmark: the chained level, May 2026 = 100 (the average of that month's weeks), with week, month and vs-base changes.
  • Spot: what the market charges this week, in dollars. Each model is taken at the median of its vendors' prices, and the spot is the median across those models, with the interquartile range. Its change is stated against its own May 2026 average, month on month and week on week, and because the spot follows the market as it stands, that change reflects models arriving and leaving as well as repricing.

Token prices are per 1,000 tokens. Other modalities use their own unit.


Tools

ToolTierWhat it returns
get_index_benchmarksFreeEvery published index at the current week: benchmark level and changes, spot price, range and changes, coverage with the May 2026 basket
get_price_historyFree / PROWeekly 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_kpisFreeThe 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_intelligenceFreeSix capability measures: reasoning tier share, long-context saturation, context ceiling, output ceiling spread, training cutoff lag, vendor modality breadth
get_index_constituentsFree / PROWhat is inside an index basket: composition by channel, origin, tier and license (free); model-by-model basket with vendors (PRO)
get_market_statsFree / PROCoverage (vendors by channel, models, SKUs, indexes) and price distributions by modality, unit and direction; vendor breakdown on PRO
list_vendorsFreeThe vendor fleet with channel, country and pricing page
search_modelsFree / PROSearch every priced SKU by modality, vendor, channel, creator, family, tier, license, origin, reasoning, price and context
get_model_detailFree / PROOne model's specs, the indexes it belongs to, and its price at every vendor
compare_pricesFree / PROOne model or family across all vendors: cheapest, dearest and spread per direction, with every offer on PRO
get_vendor_catalogFree / PROOne vendor's channel, coverage and full price list

Free and PRO

FreeMCP PRO
Indexes, index history, market KPIs, model intelligenceFullFull
Vendor list and market coverageFullFull
Index basketsComposition countsModel and vendor detail
Search, model detail, comparisons, catalogs, model price historyCounts, ranges, redacted samplesVendor 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.


Connect

Claude (web and desktop)

Settings → Connectors → Add custom connector

Name: Attic Standard
URL:  https://mcp.atticstandard.com/mcp

Claude Desktop, Cursor, Windsurf (config file)

{
  "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 key

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."


Example questions

  • "Where is text inference priced this week, and how has it moved since May?"
  • "Compare the four distribution channels."
  • "How much cheaper are open-weight models than proprietary ones?"
  • "What share of models dropped in price after launch?"
  • "What is inside the flagship index?"
  • "Cheapest place to run DeepSeek V3, and who repriced it this quarter?" (PRO)
  • "Everything one named vendor sells, with prices." (PRO)

Self-hosting

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.

VariableRequiredDescription
SUPABASE_URLYesDatabase URL
SUPABASE_SERVICE_ROLE_KEYYes (hosted)Server-side database key, set only in the host's environment
TRANSPORTNostdio (default) or http
PORTNoHTTP port (default 3000)

Stack: TypeScript, Node.js, MCP SDK, Express, Zod, Supabase over REST.


About

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

License

MIT

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Registryactive
Packageatom-mcp-server
TransportSTDIO, SSE
UpdatedMar 7, 2026
View on GitHub