whichmodel-mcp

A model routing advisor for autonomous agents — get cost-optimised LLM recommendations via MCP.

whichmodel.dev tracks pricing and capabilities across 100+ LLM models, updated every 4 hours. This MCP server exposes that data so AI agents can pick the right model at the best price for every task.

MCP Endpoint

https://whichmodel.dev/mcp

Transport: Streamable HTTP (MCP spec 2025-03-26)

Quick Start

Add to your MCP client config:

{
  "mcpServers": {
    "whichmodel": {
      "url": "https://whichmodel.dev/mcp"
    }
  }
}

No API key required. No installation needed.

Stdio (local clients)

For MCP clients that use stdio transport (Claude Desktop, Cursor, etc.):

{
  "mcpServers": {
    "whichmodel": {
      "command": "npx",
      "args": ["-y", "whichmodel-mcp"]
    }
  }
}

This runs a thin local proxy that forwards requests to the remote server.

Tools

recommend_model

Get a cost-optimised model recommendation for a specific task type, complexity, and budget.

| Parameter | Type | Description | |-----------|------|-------------| | task_type | enum (required) | chat, code_generation, code_review, summarisation, translation, data_extraction, tool_calling, creative_writing, research, classification, embedding, vision, reasoning | | complexity | low | medium | high | Task complexity (default: medium) | | estimated_input_tokens | number | Expected input size in tokens | | estimated_output_tokens | number | Expected output size in tokens | | budget_per_call | number | Maximum spend in USD per call | | requirements | object | Capability requirements: tool_calling, json_output, streaming, context_window_min, providers_include, providers_exclude |

Returns: recommended model, alternative, budget option, cost estimate, and reasoning.

compare_models

Head-to-head comparison of 2–5 models with optional volume cost projections.

| Parameter | Type | Description | |-----------|------|-------------| | models | string[] (required) | Model IDs, e.g. [anthropic/claude-sonnet-4, openai/gpt-4.1] | | task_type | enum | Context for comparison | | volume | object | calls_per_day, avg_input_tokens, avg_output_tokens for daily/monthly cost projections |

Returns: pricing, capabilities, quality tiers, and projected costs per model.

get_pricing

Raw pricing data lookup with filters by model, provider, price ceiling, and capabilities.

| Parameter | Type | Description | |-----------|------|-------------| | model_id | string | Specific model ID | | provider | string | Filter by provider, e.g. anthropic | | max_input_price | number | Max input price per million tokens (USD) | | capabilities | string[] | Required capabilities: tool_calling, json_output, streaming, vision | | min_context_window | number | Minimum context window in tokens | | limit | number | Max results (1–100, default 20) |

check_price_changes

See what model pricing has changed since a given date.

| Parameter | Type | Description | |-----------|------|-------------| | since | string (required) | ISO date, e.g. 2026-04-01 | | model_id | string | Filter to a specific model | | provider | string | Filter to a specific provider |

Returns: price increases, decreases, new models, and deprecations.

Data Freshness

Pricing data is refreshed every 4 hours from OpenRouter. Each response includes a data_freshness timestamp so you know how current the data is.

Links

• Website: whichmodel.dev
• MCP endpoint: https://whichmodel.dev/mcp
• Discovery: https://whichmodel.dev/.well-known/mcp.json