ModelCostComparison MCP server

• calculate_costFree

  Use when you have one exact offer ID and token usage and want its USD text-token subtotal. Discover the ID with list_models first. Total input includes cached input; do not add cached tokens twice. Excludes cache writes, storage, search, tool fees and taxes. Requires current reviewed, supported rates; does not invoke a model. Use compare_model_costs for several known offers.

• compare_model_costsFree

  Use when you already have 2–20 exact offer IDs and want their USD text-token subtotals for the same usage and pricing snapshot. Equal token counts are a comparison assumption, not equivalent tokenization of the same text. Returns supported results and per-offer exclusions. Excludes cache writes, storage, search, tool fees and taxes; does not rank quality. Use find_cheapest_models to search without a shortlist.

• find_cheapest_modelsFree

  Use when you know your token workload but have not selected offers: rank eligible current reviewed offers by USD text-token subtotal and return their exact IDs. Defaults to standard tariffs. Cheapest means within the eligible catalogue and supplied filters, not best quality or the entire market. Equal token counts do not imply tokenizer equivalence. Excludes cache writes, storage, search, tool fees and taxes; reports exclusion counts. Optional capacity filtering uses reviewed pricing input limits, not full context windows.

• get_model_pricingFree

  Use after list_models when you need the rates, tariff identity, sources and freshness of one exact offer, without calculating a workload. Supply the returned model_id. Prices are recorded USD text-token rates; expired or unreviewed rates are informational only. Use calculate_cost for a workload estimate.

• list_modelsFree

  Use first when you know a model name or provider but need exact pricing-offer IDs for pricing or calculations. Search recorded labels and API IDs; case, spacing and punctuation variants are accepted. Multiple tariffs are returned as separate choices. Defaults to current reviewed offers; check costing_supported before calculating. This discovers pricing offers, not model capability recommendations.

• list_providersFree

  Use to discover provider IDs and catalogue coverage before filtering model searches. Returns distinct API model counts, offer counts and current supported input/output rate ranges in USD per million tokens. The two rate minima may belong to different offers. For a workload estimate use find_cheapest_models or calculate_cost; ranges are not capability rankings.

• –Code scanremote-only server, no package to scann/a
• Live reliabilityremote reachable in 994ms20/20
• Tool poisoning6 tool descriptions checked15/15
• Auth qualityopen endpoint, read-only tools10/15
• Maintenancelast push 25 days ago15/15
• Maintainer identityregistry namespace matches repository owner7/10

Safety score

89/100

higher than 83% of 4,460 AI and agents servers

Tools

6

the typical AI and agents server has 6

Tools that change things

0%

typical: 0%. Fewer write tools means less an agent can break

Uptime

89%

of our recent checks; the typical remote AI and agents server answers 100%

Response time

738 ms

faster than 15% of 2,331 AI and agents servers

Grade history

• 2026-10-27restoreD → Ascore 89
• 2026-10-25downgradeA → Dscore 45: Remote endpoint did not respond

ModelCostComparison: common questions

Is ModelCostComparison MCP server safe?

Yes, by our scan: it is graded A (89/100). Read the ModelCostComparison safety report

How do I install ModelCostComparison?

It runs remotely at modelcostcomparison.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.

Does ModelCostComparison need an API key?

Not as far as the registry entry and our scan can tell: no credentials are declared or required.

Is ModelCostComparison maintained?

The last commit was 33 days ago (2026-10-02). The latest release is v1.0.1.

Is ModelCostComparison up?

89% of our last 28 checks got an answer. We check remote servers about four times a day.

What can I use instead of ModelCostComparison?

Servers from other publishers that do the same job: llmtrim MCP server, Commonly MCP server and mcptoon MCP server.

How does ModelCostComparison compare with other AI and agents MCP servers?

safety score 89/100 (higher than 83% of 4,460 AI and agents servers); tools 6 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.