atom-mcp-server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PORT | No | HTTP port (default 3000) | 3000 |
| TRANSPORT | No | Transport protocol: 'stdio' (default) or 'http' | stdio |
| SUPABASE_URL | Yes | Supabase project URL | |
| ATOM_API_KEYS | No | Comma-separated valid API keys for paid tier | |
| SUPABASE_ANON_KEY | Yes | Supabase anonymous/public key |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_modelsA | 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 tier shows count + price range; paid tier shows full details. Examples:
|
| get_model_detailA | 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:
|
| compare_pricesA | 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:
|
| get_vendor_catalogA | 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:
|
| get_market_statsA | 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:
|
| get_index_benchmarksA | AIPI (ATOM Inference Price Index) — chained matched-model price benchmarks for AI inference. Returns 14 benchmark indexes across four categories:
Each index includes input, cached input, and output pricing per period. These are market-wide benchmarks, not individual vendor prices. Use them to understand where the market is and how it's moving. Fully public — available to all tiers. Examples:
|
| get_kpisA | ATOM Inference Price Index (AIPI) market-level KPIs. Returns 6 key performance indicators derived from live pricing data:
These KPIs are available to all tiers — they demonstrate ATOM's market intelligence. |
| list_vendorsA | List all AI inference vendors tracked by ATOM. Returns vendor name, country, region, and pricing page URL. Vendors span four channel types: Model Developers, Cloud Marketplaces, Inference Platforms, and Neoclouds. Optionally filter by region or country. Examples:
|
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 8 tools
Tools are largely distinct, though compare_prices and get_model_detail both return cross-vendor pricing for specific models, which could cause selection uncertainty. The three market-level analytics tools (get_index_benchmarks, get_kpis, get_market_stats) serve different analytical purposes but operate on similar aggregate data.
All 8 tools follow a consistent verb_noun pattern (compare_prices, get_index_benchmarks, get_kpis, get_market_stats, get_model_detail, get_vendor_catalog, list_vendors, search_models). No mixing of camelCase, snake_case, or inconsistent verb styles.
8 tools is well-suited for the AI inference pricing intelligence domain. The set covers discovery (search_models, list_vendors), detailed lookups (get_model_detail, get_vendor_catalog), price comparison (compare_prices), and market analytics (get_index_benchmarks, get_kpis, get_market_stats) without redundancy or bloat.
Strong coverage for read-only market intelligence including model discovery, vendor exploration, price comparison, and market benchmarks. Minor gaps include no explicit historical pricing trends for individual models over time and no direct side-by-side vendor comparison tool (requiring manual comparison of vendor_catalog outputs).