whichmodel-mcp

Cost-optimized LLM model routing recommendations for AI agents — real-time pricing and benchmarks across 300+ models.

CommunityOnlineNo sign-inGlobalFreeRead-only

What it can do

  • Recommend Model: Get a cost-optimised model recommendation for a specific task. Describe what you need to do and get back the best model with cost estimate, reasoning, and alternatives.
  • Compare Models: Head-to-head comparison of 2-5 specific models. Compare pricing, capabilities, quality tiers, and optionally project costs based on expected usage volume.
  • Get Pricing: Raw pricing data lookup for LLM models. Filter by model, provider, price ceiling, and capabilities. Returns structured pricing data for programmatic consumption.

What data it sees

Do you need an account

No: the server works without sign-in

Cost-optimized LLM model routing recommendations for AI agents — real-time pricing and benchmarks across 300+ models.

How to connect

How to connect whichmodel-mcp to Claude

The server address to paste into Claude settings:

https://whichmodel-mcp--simon-foad.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect whichmodel-mcp to ChatGPT

The server address to paste into ChatGPT settings:

https://whichmodel-mcp--simon-foad.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect whichmodel-mcp to Cursor

The server address to paste into Cursor settings:

https://whichmodel-mcp--simon-foad.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (6)

Raw names from tools/list. Only developers need these.

recommend_modelGet a cost-optimised model recommendation for a specific task. Describe what you need to do and get back the best model with cost estimate, reasoning, and alternatives.
compare_modelsHead-to-head comparison of 2-5 specific models. Compare pricing, capabilities, quality tiers, and optionally project costs based on expected usage volume.
get_pricingRaw pricing data lookup for LLM models. Filter by model, provider, price ceiling, and capabilities. Returns structured pricing data for programmatic consumption.
check_price_changesCheck what model pricing has changed since a given date. Useful for monitoring cost changes and spotting new models or deprecations.
estimate_costEstimate the cost of a specific workload for a given model. Returns cost per call, daily and monthly projections, and a comparison to the cheapest alternative with equivalent capabilities.
find_cheapest_capableFind the cheapest models that meet specific capability requirements. Useful when you have hard constraints (e.g. must support tool_calling + vision) and want the most cost-effective option.