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.
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
