Ai Model Picker

Developer REST API MCP network tool

Return the best-matching AI coding models (top 3 by default) for a project, scored on speed, accuracy, cost and context window from four answers: what you build, primary language, top priority and project complexity. Model data comes from the live FindUtils model catalog.

This page documents the HTTP endpoint POST /api/tools/ai-model-picker/execute. See the MCP reference →

This tool fetches a fixed, hard-coded public upstream — never a private host. Results depend on that upstream.

Call it over REST

POST https://api.findutils.com/api/tools/ai-model-picker/execute · no API keys · 60 requests/min per IP

Execute — verified arguments

curl -X POST https://api.findutils.com/api/tools/ai-model-picker/execute \
  -H "Content-Type: application/json" \
  -d '{
    "task_type": "Backend",
    "language": "TypeScript",
    "priority": "Accuracy",
    "complexity": "Medium apps"
  }'

Parameter schema for this endpoint

curl https://api.findutils.com/api/tools/ai-model-picker

Interactive docs · OpenAPI 3.1 spec · All REST tools

Input schema

Argument Type Required Description
task_type string (Frontend | Backend | Mobile | DevOps | Data | API) yes What are you building?
language string (TypeScript | Python | Rust | Go | Java | SQL | C++ | Other) yes Primary programming language.
priority string (Accuracy | Speed | Cost | Context Length) yes What matters most?
complexity string (Simple scripts | Medium apps | Complex systems | Legacy refactoring) yes Project complexity.
limit integer no How many models to return (1-10). Default: 3.

Example arguments (verified)

{
  "task_type": "Backend",
  "language": "TypeScript",
  "priority": "Accuracy",
  "complexity": "Medium apps"
}

Also an MCP tool

Claude, Cursor, and any MCP client can call this tool as findutils:ai_model_picker after one connect command.

Connect once

claude mcp add findutils --transport http https://mcp.findutils.com/
Open the MCP reference for Ai Model Picker →

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