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ModelCostComparison

Official registry AI and agents

Find AI model pricing, estimate token costs and compare offers. No API key required.

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http modelcostcomparison 'https://modelcostcomparison.com/api/v1/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "modelcostcomparison": {
            "type": "http",
            "url": "https://modelcostcomparison.com/api/v1/mcp"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. ModelCostComparison MCP
  2. Connect
  3. Tools
  4. Try it
  5. Scope
  6. References
  7. Official MCP Registry

ModelCostComparison MCP

Measured by MCPmetrics:

Connect your AI client to the same pricing source and calculation engine used by ModelCostComparison.

Install in Cursor

Connect

Remote endpoint: https://modelcostcomparison.com/api/v1/mcp
Transport: Streamable HTTP. No API key or local package required.

Cursor

Use the install link above and confirm the server in Cursor. Alternatively, merge the contents of mcp.json into your Cursor MCP configuration, preserving existing servers. Enable ModelCostComparison in the agent's tools.

Claude

Open Connectors, choose Add custom connector, name it ModelCostComparison and paste the endpoint above. Connect it and enable its tools for your conversation. Organization settings may require an administrator to add it.

Other clients

Add a remote MCP server with the endpoint above and Streamable HTTP transport.

Tools

ToolPurpose
list_modelsFind model and exact tariff identifiers.
get_model_pricingGet rates, sources and review dates.
calculate_costCalculate input, output and cached-input token costs.
compare_model_costsCompare offers for the same token workload.
find_cheapest_modelsRank eligible reviewed offers for a token workload.
list_providersSummarize providers, offers and current price ranges.

Try it

  • “Use ModelCostComparison to list available OpenAI models and show pricing sources and review dates.”
  • “Find reviewed offers for OpenAI, Anthropic and Google. Compare 1 million input tokens and 200,000 output tokens, with no cache and at most 8,000 input tokens per request.”
  • “For the selected offer, estimate 1 million input tokens including 500,000 cached input tokens, plus 100,000 output tokens. Maximum input per request is 8,000 tokens.”

Start with model discovery; use the exact offer IDs returned by the service. Missing or ambiguous workload details should be clarified before calculating.

Scope

Results are estimates of text-token subtotals in USD, not invoices or model-quality rankings. Cache writes, storage, tools, search and taxes are excluded. Expired or unreviewed offers cannot be calculated. Unsupported offers are reported separately in comparisons. Pricing is served from the website's reviewed deployment snapshot, not fetched from providers on every request.

The service is rate limited. On HTTP 429, wait for Retry-After before retrying. HTTP 503 indicates temporary unavailability. No provider credentials are needed, and tools do not call provider models.

This repository contains connection settings and documentation only. Pricing and calculations remain on the hosted service.

References

Official MCP Registry

Published as io.github.Lazige/modelcostcomparison, version 1.0.1. Registry entry. The registry metadata lives in server.json.

Frequently asked questions

What is ModelCostComparison?

Find AI model pricing, estimate token costs and compare offers. No API key required.

How do I install ModelCostComparison?

It runs as a remote server. In Claude Code: claude mcp add --transport http modelcostcomparison 'https://modelcostcomparison.com/api/v1/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does ModelCostComparison need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is ModelCostComparison open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains ModelCostComparison?

It is published by Lazige. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.