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 MCP tool findutils:ai_model_picker. See the REST reference →

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

Use in the browser View as Markdown

Call it over MCP

Tool name findutils:ai_model_picker · no API keys · 120 requests/min per IP

Claude Code

claude mcp add findutils --transport http https://mcp.findutils.com/

Claude Desktop — claude_desktop_config.json

{
  "mcpServers": {
    "findutils": {
      "url": "https://mcp.findutils.com/"
    }
  }
}

Raw JSON-RPC (any MCP client) — verified example

curl -X POST https://mcp.findutils.com/ \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "ai_model_picker",
      "arguments": {
        "task_type": "Backend",
        "language": "TypeScript",
        "priority": "Accuracy",
        "complexity": "Medium apps"
      }
    }
  }'

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 a REST endpoint

The same tool answers plain HTTP at POST /api/tools/ai-model-picker/execute — no key, 60 requests/min.

Open the REST reference for Ai Model Picker →

More Developer tools

A2ui Basic Catalog

Returns the authoritative basic-catalog JSON Schema (components, functions, theme) for the requested A2UI version.

A2ui Diff

Computes a structural diff between two A2UI JSONL payloads: surfaces added/removed, components added/removed/changed (by id), data-model pat

A2ui Examples

Returns one or more canonical A2UI JSONL examples matching a pattern (form, list, wizard, modal, chat, dashboard, checkout, typeahead, mcp-c

A2ui Prompt

Generates a drop-in LLM system prompt that teaches the model to output valid A2UI JSONL: includes the basic-catalog component / function lis

A2ui Spec

Returns A2UI protocol documentation for a given spec version and section.

A2ui Validate

Validates a JSONL A2UI payload against the basic catalog (or a custom catalog) and returns any errors, warnings, or info messages with exact

Aspect Ratio

Compute the aspect ratio of width:height.

Color Contrast

Compute the WCAG 2.1 contrast ratio between two colours (accepts #rgb, #rrggbb, and rgb()/rgba() formats) and report whether it passes AA/AA