← modelpicker.net

INDIVIDUAL MCP TOOL

recommend_model

Recommend the best AI model for a specific task based on ModelPicker's benchmark data.

modelpicker.netnone authenticationAvailability not checked

Input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent endpoint

modelpicker.net

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.modelpicker-net]
url = "https://mcp.modelpicker.net/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "modelpicker-net": {
      "type": "http",
      "url": "https://mcp.modelpicker.net/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: modelpicker-net
Remote MCP URL: https://mcp.modelpicker.net/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "modelpicker-net": {
      "url": "https://mcp.modelpicker.net/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "modelpicker-net": {
      "type": "http",
      "url": "https://mcp.modelpicker.net/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "modelpicker-net",
  "transport": "streamable-http",
  "url": "https://mcp.modelpicker.net/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • list_tasks — List all task categories that ModelPicker scores models on, with their benchmark mappings.
  • list_benchmarks — List all benchmarks ModelPicker uses to evaluate models.
  • list_models — Browse the ModelPicker model catalog with optional filters.
  • get_model — Get full details for a specific model including all benchmark scores, rankings vs other models, and deprecation status.
  • compare_models — Head-to-head comparison of two models across all benchmarks.
  • find_alternatives — Find replacement models for a given model.