mcp-glm-kimi-ollama
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TDQS
Scored across 14 tools
Most tools target distinct actions (read, write, edit, search, shell, web, media). The AI tools (think, research, agent) have some overlap in reasoning, but their descriptions clearly differentiate: think for step-by-step reasoning, research for codebase analysis, agent for autonomous multi-step execution. One or two pairs (think/research) could be confused if an agent isn't careful.
All tools share a 'kimi_' prefix, providing a strong sense of consistency. However, while many follow verb_noun (read_file, write_file, fetch_url), others are single nouns (glob, grep, shell, agent). This mix of verb and noun forms is a minor inconsistency, though the overall pattern remains readable.
With 14 tools, the server is well within the ideal 3-15 range. Each tool serves a distinct function from file operations to shell, web, media, and AI reasoning, so the count feels appropriately scoped without being overwhelming.
The toolset covers a broad range of operations: file read/write/edit/search, shell execution, web search/fetch, media analysis, and AI-based reasoning/review/testing/agentic tasks. There are no obvious dead ends; for example, file deletion can be handled via shell. The surface is comprehensive for a general-purpose assistant.