AI Model Watch
NPM · @AIMODELWATCH/MCP
Prices, context windows, lifecycle and deprecation dates for 270+ AI/LLM models. Daily, no key.
Available components
Last scanned (1 hour ago)
Scores higher than 65% 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 Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 0 of 3 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency19
- Repository check failed: the declared repository URL returned HTTP 404. 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 45 days ago).Pass
- Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability86
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1213 tokens (~110/item across 11 items; 9 tools + 2 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 Coverage89
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 63% of tool parameters carry a description.Partial
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 9 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 11 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (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
- Stability: pass → 0.97 functional
- 27 Oct 26 0
- Stability: 0.97 → pass security
- 26 Oct 26 0
- Stability: pass → 0.97 functional
- 20 Oct 26 0
- Stability: 0.97 → pass security
- 19 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 16 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 14 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.
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 5 Nov 2026 · Analysed npm/@aimodelwatch/mcp@2.0.1
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 →
Dependencies 3 packages
| Packages resolved | 3 |
|---|---|
| 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 →
cheapest_models Cheapest models ~108
The N cheapest models by blended price (mean of input and output USD per 1M tokens). Only models with both prices published. Defaults to active models; pass status to widen.
| Name | Type | Req | Description |
|---|---|---|---|
| count | integer | – | – |
| modality | string | – | e.g. 'text', 'image', 'embedding' |
| provider | string | – | Provider name, case-insensitive substring: 'openai', 'anthropic', 'google', 'mistral'... |
| status | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| models | array | yes | – |
| updated | string | yes | – |
No examples provided.
check_model_status Check model status ~98
Is this model id safe to pin? Reports the provider-declared lifecycle status, the deprecation/retirement dates, days until retirement, and the stated replacement (with its row). A model absent from the catalog is reported as found=false, not as retired.
| Name | Type | Req | Description |
|---|---|---|---|
| id | string | yes | Model id or api_string, e.g. 'gpt-4o', 'claude-3-5-sonnet-20241022' |
| Name | Type | Req | Description |
|---|---|---|---|
| api_string | string|null | yes | – |
| days_to_retirement | number|null | yes | – |
| deprecated_on | – | yes | – |
| found | boolean | yes | – |
| id | string|null | yes | – |
| lifecycle | – | yes | – |
| name | string|null | yes | – |
| replacement | string|null | yes | – |
| replacement_model | – | yes | – |
| retires_on | – | yes | – |
| source_url | string|null | yes | – |
| status | – | yes | – |
| suggestions | array | yes | – |
| updated | string | yes | – |
No examples provided.
compare_models Compare models ~41
Side-by-side rows for 2-6 models (by id or api_string) plus blended price per 1M tokens.
| Name | Type | Req | Description |
|---|---|---|---|
| ids | array | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| models | array | yes | – |
| not_found | array | yes | – |
| updated | string | yes | – |
No examples provided.
feed_freshness Feed freshness ~56
How current is the data: the catalog `updated` date, its age in days, model/deprecation counts, providers covered, and this server's cache state. Free to call; hits the network at most once per TTL.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| as_of | string | yes | – |
| cache | object | yes | – |
| days_since_update | integer | yes | – |
| deprecation_count | integer | yes | – |
| feed_updated | string | yes | – |
| feed_urls | object | yes | – |
| license | string | yes | – |
| model_count | integer | yes | – |
| providers | array | yes | – |
| updated | string | yes | – |
No examples provided.
get_model Get model ~90
Full catalog row for one model, looked up by id (slug) or api_string, case-insensitive. Includes notes, knowledge cutoff and the official source_url. When not found, returns found=false plus up to 5 similar ids.
| Name | Type | Req | Description |
|---|---|---|---|
| id | string | yes | Model id or api_string, e.g. 'claude-opus-4-8' or 'gpt-5.6' |
| Name | Type | Req | Description |
|---|---|---|---|
| found | boolean | yes | – |
| model | – | yes | – |
| suggestions | array | yes | – |
| updated | string | yes | – |
No examples provided.
list_deprecations List deprecations ~191
Every deprecation/retirement a provider has declared, with dates, days to retirement and the stated replacement. 'upcoming' = not yet retired (dated in the future, or undated); 'past' = already retired. Sorted soonest retirement first; undated rows last.
| Name | Type | Req | Description |
|---|---|---|---|
| after | string | – | Keep rows retiring (or, if undated, deprecated) on/after this date |
| as_of | string | – | Reference date for upcoming/past and day counts; defaults to today (UTC) |
| before | string | – | Keep rows retiring (or, if undated, deprecated) on/before this date |
| limit | integer | – | – |
| offset | integer | – | – |
| provider | string | – | Provider name, case-insensitive substring: 'openai', 'anthropic', 'google', 'mistral'... |
| when | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| as_of | string | yes | – |
| count | integer | yes | – |
| deprecations | array | yes | – |
| next_offset | – | yes | – |
| offset | integer | yes | – |
| total | integer | yes | – |
| updated | string | yes | Date the catalog last changed (feed `updated`) |
No examples provided.
list_models List models ~202
List models from the catalog with optional filters and pagination. Returns summary rows (no notes); call get_model for the full row. Filters combine with AND.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| modality | string | – | Substring match on the modality tags, e.g. 'text', 'image', 'audio', 'video', 'pdf', 'code' |
| offset | integer | – | – |
| open_weight | boolean | – | true = open-weight models only, false = closed only |
| provider | string | – | Provider name, case-insensitive substring: 'openai', 'anthropic', 'google', 'mistral'... |
| query | string | – | Case-insensitive text search over id, name and api_string |
| status | string | – | Lifecycle status as the provider states it: 'ga', 'preview', 'beta', 'deprecated', 'retired'. 'active' is shorthand for ga+preview+beta (still callable). |
| Name | Type | Req | Description |
|---|---|---|---|
| count | integer | yes | – |
| models | array | yes | – |
| next_offset | – | yes | – |
| offset | integer | yes | – |
| total | integer | yes | – |
| updated | string | yes | Date the catalog last changed (feed `updated`) |
No examples provided.
models_changed_since Models changed since ~195
Lifecycle events dated on/after a date, newest first: launches (released), deprecation announcements (deprecated_on) and retirements that have happened (retires_on). Built from the dated fields on each catalog row; the feed has no per-field modification timestamps, so price changes are not visible here (see aimodelwatch.dev/changelog). Retirements scheduled after today are omitted unless include_scheduled=true (use list_deprecations when=upcoming for those). Also returns the feed `updated` date so you can tell whether the catalog moved at all.
| Name | Type | Req | Description |
|---|---|---|---|
| include_scheduled | boolean | – | Also list retirements dated in the future (event "retires") |
| limit | integer | – | – |
| provider | string | – | Provider name, case-insensitive substring: 'openai', 'anthropic', 'google', 'mistral'... |
| since | string | yes | YYYY-MM-DD, inclusive |
| Name | Type | Req | Description |
|---|---|---|---|
| as_of | string | yes | – |
| count | integer | yes | – |
| events | array | yes | – |
| note | string | yes | – |
| since | string | yes | – |
| total | integer | yes | – |
| updated | string | yes | – |
No examples provided.
search_models Search models ~64
Free-text search across id, name, provider, api_string AND the notes field (the notes carry batch prices, cache tiers, hosting availability...). For structured filtering prefer list_models.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| query | string | yes | All whitespace-separated terms must match |
| Name | Type | Req | Description |
|---|---|---|---|
| models | array | yes | – |
| total | integer | yes | – |
| updated | string | yes | – |
No examples provided.
How do I install the AI Model Watch MCP server?
AI Model Watch runs locally as an npm package, launched with npx -y @aimodelwatch/mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @aimodelwatch/mcp
claude mcp add khavel-aimodelwatch -- npx -y @aimodelwatch/mcp
What is the AI Model Watch MCP server?
AI Model Watch is an MCP server listed in the public MCP registry as io.github.Khavel/aimodelwatch. Prices, context windows, lifecycle and deprecation dates for 270+ AI/LLM models. Daily, no key. This page covers its npm package (@aimodelwatch/mcp).
Is the AI Model Watch MCP server safe to use?
AI Model Watch scores 80 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 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 AI Model Watch MCP server expose?
AI Model Watch exposes 9 tools: list_models, get_model, search_models, compare_models, cheapest_models, and 4 more. Their descriptions and schemas cost roughly 1,045 tokens of context every time the server is loaded.
Is the AI Model Watch MCP server still maintained?
AI Model Watch is still listed as active in the MCP registry. We last reached this channel on 5 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 AI Model Watch MCP server under?
AI Model Watch declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.