sachinuppal/modelcostsaver

Overview

An offline MCP server that predicts the cost of an LLM call and recommends the cheapest capable model before you make the request. It runs locally with no API keys or network access, using npx @workswarm/modelcostsaver.

Best for

Best for
Developers building MCP-based workflows who want to minimize LLM call costs without relying on external services.

Use cases

• Selecting the most cost-effective model for a given prompt before execution
• Estimating LLM call costs in local or air-gapped development environments
• Integrating cost-aware model routing into MCP-based toolchains

Notes

An offline MCP server that predicts the cost of an LLM call and recommends the cheapest capable model before you make the request. It runs locally with no API keys or network access, using npx @workswarm/modelcostsaver.

0 stars on GitHub. Last updated 2026-06-23. Licensed Apache-2.0.

Use cases

• Selecting the most cost-effective model for a given prompt before execution
• Estimating LLM call costs in local or air-gapped development environments
• Integrating cost-aware model routing into MCP-based toolchains

Pros

• No API keys or network required, works fully offline
• Simple to run via npx with zero setup
• Helps avoid surprise costs by predicting expenses upfront

Cons

• Zero GitHub stars indicates very early stage or limited adoption
• Cost predictions may not reflect real-time pricing changes without network updates
• Only recommends cheapest model, not necessarily the best for accuracy or latency

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.