MCP.Market

Modelcostsaver MCP server

by sachinuppal·io.github.sachinuppal/modelcostsaver·v0.1.1
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Offline MCP: predict LLM call cost and pick the cheapest capable model. No keys, no network.

B74/100grade B
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Safety scan
B74/100

full report

Adoption
New

0 stars40 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Modelcostsaver tools (8)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • compare_models

    Compare models side by side for a fixed token shape, cheapest first, with the multiple of the cheapest. Offline.

  • estimate_cost

    Estimate the cost of a single LLM call for one model from known or estimated token counts. Offline, no keys.

  • get_pricing
  • list_models
  • optimize_request

    Check whether a cheaper capable model exists for a call you plan to make, and report the savings. Offline.

  • predict_cost

    Forecast the cost of a prompt across candidate models before the call. Returns a cheapest-first ranking with assumptions. Offline.

  • record_usage

    Append a usage record to a local JSONL ledger under your config dir. Opt-in (MODELCOSTSAVER_LEDGER=on); nothing leaves the machine.

  • select_optimal_model

    Pick the single cheapest model that meets the task tier, capabilities, and budget, with full reasoning and a fallbackChain. Offline.

Public scan report

scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it

1 medium
  • Code scan7 source files scanned20/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 95 days ago8/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Findings (1)

  • mediumeval / new Function usedexec.eval
    dist/index.js: …ode, sch); const makeValidate = new Function(`${names_1.default.self}`, `${names_1.de…
Overall 74/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Modelcostsaver compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
74/100
higher than 43% of 4,460 AI and agents servers
Tools
8
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Downloads a week
40
more than 32% of 1,538 AI and agents servers with a package

What its tools let an agent do: 8 read

Install Modelcostsaver in Claude Code, Cursor or VS Code

Runs npx -y @workswarm/modelcostsaver on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add modelcostsaver -- npx -y @workswarm/modelcostsaver
Add to Cursor

What the publisher says

From the Modelcostsaver repository's README, as published. We do not edit it. Read it on GitHub

ModelCostSaver

Predict the cost of an LLM call before you make it, and pick the cheapest model that still does the job, offline, from your editor.

ModelCostSaver is a Model Context Protocol server. It gives any AI coding agent or IDE a free, zero-config tool that answers the three questions every agent should ask before an LLM call:

  1. What will this prompt cost on each candidate model? (predictcost, estimatecost)
  2. Which is the cheapest model that meets the task? (selectoptimalmodel)
  3. How do my options compare side by side? (compare_models)

It is pure pricing-and-routing math over a bundled, dated catalog, so the core needs no API keys and makes no network calls.

Quick start

Run it directly with npx (no install, no keys):

npx -y @workswarm/modelcostsaver

Or write the config for your editor in one command:

npx -y @workswarm/modelcostsaver install --client cursor

Add to Cursor — one click installs it in Cursor. Or drop the block below into ~/.cursor/mcp.json, or run npx -y @workswarm/modelcostsaver install --client cursor.

Listed on the official MCP registry and editor MCP directories as io.github.sachinuppal/modelcostsaver.

The seven tools

Every cost-bearing result carries catalogVersion and asOf so you can see how fresh the prices are. Every selection carries a reasoning array, never a black-box pick.

Trust: no keys, offline, no telemetry

For a tool that sits in your editor, trust is the whole pitch. ModelCostSaver is:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Modelcostsaver: common questions

Is Modelcostsaver MCP server safe?
Mostly: it is graded B (74/100). Read the Modelcostsaver safety report
How do I install Modelcostsaver?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Modelcostsaver need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Modelcostsaver maintained?
The last commit was 134 days ago (2026-06-23). The latest release is v0.1.1.
What can I use instead of Modelcostsaver?
Servers from other publishers that do the same job: Ausca MCP server, llmtrim MCP server and Grandet MCP server.
How does Modelcostsaver compare with other AI and agents MCP servers?
safety score 74/100 (higher than 43% of 4,460 AI and agents servers); tools 8 (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.

Alternatives to Modelcostsaver

Same job from other publishers: the closest match first, then the best rated.

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