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ModelShortlist

Local BYOK MCP for AI model shortlisting using OpenRouter + Artificial Analysis.

Connector by AgenticArtists · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)★ 1
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Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/agenticartists-modelshortlist

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Local BYOK MCP for AI model shortlisting using OpenRouter + Artificial Analysis.

Reviews

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
3 read · 0 write · 0 deleteRead-only
Secrets
2 (API keys, tokens or passwords)
Install scripts
Not scanned yet
Runs as
Node.js package

Tools by what they do 3

Read from the source code; the running server may list different tools.

Read 3 · Look things up without changing anything.

  • compare_models
  • modelshortlist_status
  • recommend_models

Secrets and settings it asks for

Secrets: values you paste in that let it act as you.

  • ARTIFICIAL_ANALYSIS_API_KEY
  • OPENROUTER_API_KEY

Tools (3)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • compare_modelsCompare specific AI modelsread-only

    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.

  • modelshortlist_statusCheck ModelShortlist statusread-only

    Use this to diagnose source freshness, OpenRouter catalog coverage, model matching coverage, ZDR availability, or Artificial Analysis quota state.

  • recommend_modelsRecommend AI modelsread-only

    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.

Signals

Stars
1
Forks
0
Open issues
1
Weekly downloads
34
Last commit
Sep 16, 2026 (1 month ago)
Last release
Sep 16, 2026 (1 month ago)
Last package publish
Sep 16, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.AgenticArtists/modelshortlist
Version
0.2.4
Auth
API key
Packages
npm @agentic.artists/modelshortlist
License
MIT
Repository
github.com/AgenticArtists/ModelShortlist
Website
modelshortlist.com
First seen
Oct 24, 2026
Last checked
Oct 25, 2026
Source
Official MCP Registrygithub-graphql
Cite this page

ModelShortlist MCP server. Agent Mart. https://agentmart.dev/connectors/agenticartists-modelshortlist (last updated 2026-10-25)