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VrtxOmega

Ollama-Omega

by VrtxOmega
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Python
Hybrid

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Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.8/5.0

Scored across 6 tools

Disambiguation5/5

Each tool targets a distinct operation: multi-turn chat, single-turn generation, health check, model listing, model pulling, and model metadata. No two tools overlap in purpose.

Naming Consistency5/5

All tools follow the 'ollama_' prefix with snake_case and clear verb_noun pattern (chat, generate, health, list_models, pull_model, show_model). Consistent and predictable.

Tool Count5/5

Six tools cover the essential operations for interacting with the Ollama service: health check, model management, and inference in two modes. The count is well-scoped for the domain.

Completeness4/5

The set covers read operations (health, list, show), inference (chat, generate), and model download. Missing a delete or update tool for models, which is a minor gap but doesn't hinder basic workflows.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources