Kobold MCP Server
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TDQS
Scored across 20 tools
Most tools have distinct purposes (e.g., text generation vs. image generation vs. utility functions), but there is some overlap between kobold_chat and kobold_complete (both for text generation) and kobold_token_count and kobold_detokenize (both token-related). Descriptions help clarify, but an agent might occasionally confuse similar tools.
All tool names follow a consistent snake_case pattern with a 'kobold_' prefix and descriptive suffixes (e.g., kobold_generate, kobold_model_info). This uniformity makes the set predictable and easy to navigate, with no deviations in style.
With 20 tools, the count is borderline high for a single server, as it covers diverse domains like text generation, image processing, audio, and utilities. While each tool serves a purpose, the scope feels broad, potentially overwhelming for agents focused on specific tasks.
The tool set covers core AI functionalities well, including text and image generation, audio processing, and model management. Minor gaps exist, such as no explicit tool for updating settings or managing generation parameters beyond aborting, but agents can work around these with the available tools.