# Local Model Suitability MCP

- Registry name: `io.github.OjasKord/local-model-suitability-mcp` · version 1.1.23
- Categories (automatic, keyword rules): AI models & agents, AI, media & content
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): prompts, resources, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.OjasKord%2Flocal-model-suitability-mcp
- Server page: https://mcpstation.net/s/io.github.OjasKord--local-model-suitability-mcp.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://local-model-suitability-mcp-production.up.railway.app`

## Tools (as reported by the server, not verified)

- `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

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html