ModelShortlist
NPM · @AGENTIC.ARTISTS/MODELSHORTLIST
Local BYOK MCP for AI model shortlisting using OpenRouter + Artificial Analysis.
Available components
Last scanned (2 hours ago)
Scores higher than 94% 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 4 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency100
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to AgenticArtists/ModelShortlist). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 30 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability60
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 449 tokens (~149/item across 3 items; 3 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 Coverage89
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 67% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 3 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.
- 15 Oct 26 0
- Stability: 0.97 → pass security
- 14 Oct 26 0
- Stability: pass → 0.97 functional
- 13 Oct 26 0
- Stability: 0.97 → pass security
- 12 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.
- 11 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 93. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 8 Oct 26 +2
No change was recorded against any check on this day. Stability & Change Management went from 73 to 83. That category is still filling its 30-day observation window: 22 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.
- 4 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 67 to 70. That category is still filling its 30-day observation window: 20 days of observed history at the previous scan, 21 at this one. The score rises as the window fills, whether or not the server changes.
- 2 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 60 to 63. That category is still filling its 30-day observation window: 18 days of observed history at the previous scan, 19 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 17 Oct 2026 · Analysed npm/@agentic.artists/modelshortlist@0.2.4
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | npm |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | AgenticArtists/ModelShortlist |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/AgenticArtists/ModelShortlist/.github/workflows/release.yml@refs/tags/v0.2.4 |
| Rekor log index | 2866711193 |
| Predicate type | SLSA build provenance https://slsa.dev/provenance/v1 |
| Subject digest | sha512:005f3e3ef988e9aaa4b615383feab2e7d4cbe025ba1b52ef690e53d91baa4f1bedf79ec590729f13928fa83cfd8175be89642140093c343da466a6634 |
Background: How many MCP packages publish verified provenance →
Dependencies 4 packages
| Packages resolved | 4 |
|---|---|
| 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_models Compare specific AI models ~94
Use this after model discovery for a focused comparison of specific OpenRouter model IDs. It returns OpenRouter catalog data, ZDR availability, Artificial Analysis metrics when confidently matched, and explicit source freshness metadata. ZDR is not assumed to be required.
| Name | Type | Req | Description |
|---|---|---|---|
| force_refresh | boolean | – | – |
| model_ids | array | yes | – |
| requires_zdr | boolean | – | Set true only when the user explicitly requires Zero Data Retention. |
No output schema declared.
No examples provided.
modelshortlist_status Check ModelShortlist status ~53
Use this to diagnose source freshness, OpenRouter catalog coverage, model matching coverage, ZDR availability, or Artificial Analysis quota state.
| Name | Type | Req | Description |
|---|---|---|---|
| force_refresh | boolean | – | – |
| include_unmatched | boolean | – | – |
No output schema declared.
No examples provided.
recommend_models Recommend AI models ~302
Use this whenever the user asks which AI model to use for a workload. It considers the OpenRouter model catalog and adds Artificial Analysis benchmark data when confidently matched, while returning explicit source freshness metadata if a refresh is degraded. Zero Data Retention is optional and must only be enforced when the user explicitly requires ZDR. After calling this tool, YOU must make the recommendation based on the user use case; do not simply pick the first model or a single benchmark winner. Clearly attribute Artificial Analysis benchmark metrics and OpenRouter catalog/endpoint data.
| Name | Type | Req | Description |
|---|---|---|---|
| creator | string | – | Optional model creator/provider family filter. |
| force_refresh | boolean | – | Force fresh upstream API requests. Use sparingly because AA Free has a quota. |
| limit | integer | – | – |
| max_input_price | number | – | Maximum acceptable OpenRouter input price in USD per 1M tokens. |
| max_output_price | number | – | Maximum acceptable OpenRouter output price in USD per 1M tokens. |
| min_context | integer | – | Minimum context window required. |
| query | string | – | Optional model-name substring filter. |
| requires_tools | boolean | – | True when the workload requires tool/function calling. |
| requires_zdr | boolean | – | Set true only when the user explicitly requires Zero Data Retention (ZDR). Otherwise leave false so all OpenRouter models remain eligible. |
| use_case | string | yes | What the user needs the model to do. Preserve their actual workload and priorities in detail. |
No output schema declared.
No examples provided.
How do I install the ModelShortlist MCP server?
ModelShortlist runs locally as an npm package, launched with npx -y @agentic.artists/modelshortlist. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @agentic.artists/modelshortlist
claude mcp add agenticartists-modelshortlist -- npx -y @agentic.artists/modelshortlist
What is the ModelShortlist MCP server?
ModelShortlist is an MCP server listed in the public MCP registry as io.github.AgenticArtists/modelshortlist. Local BYOK MCP for AI model shortlisting using OpenRouter + Artificial Analysis. This page covers its npm package (@agentic.artists/modelshortlist).
Is the ModelShortlist MCP server safe to use?
ModelShortlist scores 92 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 17 October 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. 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 ModelShortlist MCP server expose?
ModelShortlist exposes 3 tools: recommend_models, compare_models, modelshortlist_status. Their descriptions and schemas cost roughly 449 tokens of context every time the server is loaded.
Is the ModelShortlist MCP server still maintained?
ModelShortlist is still listed as active in the MCP registry. We last reached this channel on 17 October 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 ModelShortlist MCP server under?
ModelShortlist declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.