ATOM Pricing Intelligence
NPM · ATOM-MCP-SERVER · 2 COMPONENTS
The Global Price Benchmark for AI Inference. 1,600+ SKUs, 40+ vendors, 14 price indexes.
Available components
Last scanned (18 hours ago)
Scores higher than 43% of npm servers
Category AI and Machine Learning
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security81
- No malware found by supply-chain analysis.Pass
- CVE check failed: a known high-severity CVE affects zod 3.25.76, a direct dependency. A fixed version is available. View diagnostics → Fail
- No install/post-install scripts declared.Pass
- 30 of 93 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency19
- Repository check failed: the declared repository URL redirects; it must resolve directly. See how to fix → View diagnostics → Fail
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 29 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability68
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1738 tokens (~217/item across 8 items; 8 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 8 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 3 Nov 26 0
- Stability: 0.97 → pass security
- 2 Nov 26 0
- Security disclosure: unverified → fail ▼ functional
- Stability: pass → 0.97 functional
- 1 Nov 26 0
- Security disclosure: fail → unverified ▼ functional
- 27 Oct 26 0
- Stability: 0.97 → pass security
- 26 Oct 26 0
- Stability: pass → 0.97 functional
- 24 Oct 26 −5
- CVE-2023-54404 affects this package: high ▼ security
- Known CVEs: pass → fail ▼ security
- 22 Oct 26 0
- Security disclosure: unverified → fail ▼ functional
- 21 Oct 26 0
- Security disclosure: fail → unverified ▼ functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 4 Nov 2026 · Analysed npm/atom-mcp-server@1.1.2
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Vulnerabilities 1 finding
| ID | CVE | Severity | Vector | Fix available |
|---|---|---|---|---|
| GHSA-mrhx-c7xc-m3w5 | CVE-2023-54404 | high | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H | yes |
Background: What a vulnerability scan can and cannot prove →
Dependencies 93 packages
| Packages resolved | 93 |
|---|---|
| Stale | 30 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
compare_prices Compare Prices Across Vendors ~248
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_name="Llama 3.1 70B" - "Cheapest GPT-4 family output pricing" → model_family="GPT-4", direction="Output" - "Claude pricing comparison" → model_family="Claude"
| Name | Type | Req | Description |
|---|---|---|---|
| _atom_api_key | string | – | Your ATOM API key for full access. Omit for free tier (redacted data). |
| direction | string | – | Filter by pricing direction |
| limit | integer | – | Maximum results (default 50) |
| modality | string | – | Filter by modality: Text, Image, Audio, etc. |
| model_family | string | – | Model family to compare, e.g. 'GPT-4o', 'Claude 3.5' |
| model_name | string | – | Model name to compare prices for, e.g. 'GPT-4o', 'Llama 3.1 70B' |
No output schema declared.
No examples provided.
get_index_benchmarks Get AIPI Index Benchmarks ~273
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, not individual vendor prices. Use them to understand where the market is and how it's moving. Fully public — available to all tiers. Examples: - "What's the current benchmark for text inference?" → index_category="Text" - "Show me all AIPI indexes" → (no params) - "AIPI-TXT-GLB history" → index_code="AIPI-TXT-GLB"
| Name | Type | Req | Description |
|---|---|---|---|
| _atom_api_key | string | – | Your ATOM API key for full access. Omit for free tier (redacted data). |
| index_category | string | – | Filter by index category, e.g. 'Text', 'Image', 'Audio', 'Video', 'Multimodal', 'Composite' |
| index_code | string | – | Filter by specific AIPI index code, e.g. 'AIPI-TXT-GLB', 'AIPI-IMG-GLB'. Omit to see all indexes. |
| limit | integer | – | Maximum results to return (default 25) |
No output schema declared.
No examples provided.
get_kpis Get Market KPIs ~159
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 difference between open-source and proprietary - Context Cost Curve: price multiplier for larger context windows - Caching Availability: % of models offering cached pricing - Size Spread: price ratio between largest and smallest models These KPIs are available to all tiers — they demonstrate ATOM's market intelligence.
| Name | Type | Req | Description |
|---|---|---|---|
| _atom_api_key | string | – | Your ATOM API key for full access. Omit for free tier (redacted data). |
No output schema declared.
No examples provided.
get_market_stats Get Market Statistics ~139
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 statistics" → modality="Text" - "Image generation market stats" → modality="Image"
| Name | Type | Req | Description |
|---|---|---|---|
| _atom_api_key | string | – | Your ATOM API key for full access. Omit for free tier (redacted data). |
| modality | string | – | Optionally focus on a specific modality: Text, Image, Audio, Video, etc. |
No output schema declared.
No examples provided.
get_model_detail Get Model Details ~176
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 everything about GPT-4o" → model_name="GPT-4o" - "Claude Sonnet 4.5 specs and pricing" → model_name="Claude Sonnet 4.5"
| Name | Type | Req | Description |
|---|---|---|---|
| _atom_api_key | string | – | Your ATOM API key for full access. Omit for free tier (redacted data). |
| model_name | string | yes | Model name to look up, e.g. 'GPT-4o', 'Claude Sonnet 4.5', 'Llama 3.1 70B' |
No output schema declared.
No examples provided.
get_vendor_catalog Get Vendor Catalog ~201
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="OpenAI", modality="Text" - "Amazon Bedrock catalog" → vendor="Amazon Bedrock"
| Name | Type | Req | Description |
|---|---|---|---|
| _atom_api_key | string | – | Your ATOM API key for full access. Omit for free tier (redacted data). |
| direction | string | – | Optionally filter by pricing direction |
| limit | integer | – | Maximum results (default 50) |
| modality | string | – | Optionally filter by modality: Text, Image, Audio, Video, Voice, Multimodal |
| vendor | string | yes | Vendor name, e.g. 'OpenAI', 'Together AI', 'Amazon Bedrock' |
No output schema declared.
No examples provided.
list_vendors List All Vendors ~157
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"
| Name | Type | Req | Description |
|---|---|---|---|
| _atom_api_key | string | – | Your ATOM API key for full access. Omit for free tier (redacted data). |
| country | string | – | Optionally filter by country, e.g. 'United States', 'China', 'France' |
| region | string | – | Optionally filter by region: 'North America', 'Europe', 'Asia', etc. |
No output schema declared.
No examples provided.
search_models Search AI Models ~385
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: - "Find open-source text models under $1/M tokens" → open_source=true, modality="Text", max_price=0.001 - "What multimodal models does Google offer?" → vendor="Google", modality="Multimodal" - "Models with 128K+ context window" → min_context_window=128000
| Name | Type | Req | Description |
|---|---|---|---|
| _atom_api_key | string | – | Your ATOM API key for full access. Omit for free tier (redacted data). |
| creator | string | – | Filter by model creator/developer |
| direction | string | – | Filter by pricing direction |
| limit | integer | – | Maximum results to return (default 20) |
| max_price | number | – | Maximum normalized price (USD per unit) |
| min_context_window | integer | – | Minimum context window in tokens |
| min_parameter_count | string | – | Minimum parameter count, e.g. '7B', '70B' |
| modality | string | – | Filter by modality: Text, Image, Audio, Video, Voice, Multimodal, Embedding |
| model_family | string | – | Filter by model family, e.g. 'GPT-4o', 'Claude 3.5' |
| offset | integer | – | Offset for pagination |
| open_source | string | – | Filter by open-source status: 'true' or 'false' |
| vendor | string | – | Filter by vendor name, e.g. 'OpenAI', 'Anthropic' |
No output schema declared.
No examples provided.
How do I install the ATOM Pricing Intelligence MCP server?
ATOM Pricing Intelligence runs locally as an npm package, launched with npx -y atom-mcp-server. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · atom-mcp-server
claude mcp add a7om-ai-atom-mcp-server -- npx -y atom-mcp-server
What is the ATOM Pricing Intelligence MCP server?
ATOM Pricing Intelligence is an MCP server listed in the public MCP registry as io.github.A7OM-AI/atom-mcp-server. The Global Price Benchmark for AI Inference. 1,600+ SKUs, 40+ vendors, 14 price indexes. This page covers its npm package (atom-mcp-server).
Is the ATOM Pricing Intelligence MCP server safe to use?
ATOM Pricing Intelligence scores 72 out of 100 on VerifyMCP. We recorded 1 known advisory against it as of 4 November 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the ATOM Pricing Intelligence MCP server expose?
ATOM Pricing Intelligence exposes 8 tools: search_models, get_model_detail, compare_prices, get_vendor_catalog, get_market_stats, and 3 more. Their descriptions and schemas cost roughly 1,738 tokens of context every time the server is loaded.
Is the ATOM Pricing Intelligence MCP server still maintained?
ATOM Pricing Intelligence is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the ATOM Pricing Intelligence MCP server under?
ATOM Pricing Intelligence declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.