Local Model Suitability MCP
AI model router.
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What it can do
- 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
What data it sees
Do you need an account
No: the server works without sign-in
AI model router. Checks whether to use local Ollama or cloud inference before each API call.
Server tool list (1)
Raw names from tools/list. Only developers need these.
| 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. |