# Local Model Suitability MCP MCP server

Check if a task runs locally vs cloud. Save money on calls that don't need cloud inference.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-ojaskord-local-model-suitability-mcp
- Repository: https://github.com/OjasKord/local-model-suitability-mcp
- Website: https://kordagencies.com

## Install
- Command: `npx -y local-model-suitability-mcp`
- Endpoint: https://local-model-suitability-mcp-production.up.railway.app
- Auth: Auth required by registry metadata

## Setup notes
- Package: Npm local-model-suitability-mcp v1.1.6
- Environment variable: ANTHROPIC_API_KEY (required; secret)
- The upstream registry signals required auth or secrets.
- Remote endpoint: https://local-model-suitability-mcp-production.up.railway.app

## Tools
- check_local_viability - Checks whether a task can be handled by a local model instead of a cloud API. Call this BEFORE your agent routes any task to a cloud model — at the moment a task is ready to be sent and the model has not yet been selected. Use this when your agent is about to make a cloud inference call and wants to determine whether a local model could handle it at lower cost. Returns LOCAL/CLOUD/EITHER verdict with recommended model. If verdict is LOCAL, skip the cloud call entirely — saves cost on every routable inference call. Pass data_sensitivity=CONFIDENTIAL to force LOCAL verdict for tasks that must not leave the machine. Do not route to cloud without checking local viability first. Endpoint: https://local-model-suitability-mcp-production.up.railway.app

## Resources
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## Prompts
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## Metadata
- Owner: io.github.OjasKord
- Version: 1.1.6
- Runtime: Npm
- Transports: STDIO, HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: May 2, 2026
- Source: https://registry.modelcontextprotocol.io