sachinuppal/modelcostsaver

latest · 0.1.1

Offline MCP: predict LLM call cost and pick the cheapest capable model. No keys, no network.

MCP registry
io.github.sachinuppal/modelcostsaver

Install

claude mcp add io-github-sachinuppal-modelcostsaver -- npx @workswarm/modelcostsaver

/mcp confirms it's connected.

Install

Or add it manually in ~/.cursor/mcp.json:

{
  "mcpServers": {
    "io-github-sachinuppal-modelcostsaver": {
      "command": "npx",
      "args": [
        "@workswarm/modelcostsaver"
      ]
    }
  }
}

In claude_desktop_config.json (Settings → Developer → Edit Config), then restart:

{
  "mcpServers": {
    "io-github-sachinuppal-modelcostsaver": {
      "command": "npx",
      "args": [
        "@workswarm/modelcostsaver"
      ]
    }
  }
}

Config entry, any MCP client:

{
  "command": "npx",
  "args": [
    "@workswarm/modelcostsaver"
  ]
}

Community score

Community25/ 100

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  • Web signals (ecosystem baseline)25/100 · 100% of the weight
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What the web says

Ecosystem baseline25/ 100

Objective public usage & activity (formula v3) — the community score's web-signals input, and its own sort.

GitHub stars · 5 days ago
★ 0
Last commit · 5 days ago
112 days ago
License · 5 days ago
Apache-2.0
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Listed on
Glama · 4 hours ago
Listed · Glama quality score 3.4 ↗
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Version history1
  • 0.1.1release date unknown
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Details
Transport
stdio
Status
listed
Source
Imported from the MCP registry
Repository
source ↗