A
licenseA
qualityB
maintenanceA lightweight Node.js MCP server that integrates Alibaba Cloud's Qwen models, providing vision understanding, real-time web search, and general chat capabilities through three ready-to-use tools.
3
MIT
MCP Agent with DashScope
by niahZheng
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TDQS
B3.1/5.0
Scored across 1 tool
Disambiguation5/5
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as using DashScope for chat conversations, so an agent cannot misselect between non-existent alternatives.
Naming Consistency5/5
The single tool name 'ai_chat' follows a clear and consistent pattern (snake_case with descriptive verb_noun structure). Since there is only one tool, there is no inconsistency to evaluate, and the naming is appropriate and readable.
Tool Count2/5
The server has only one tool, which feels thin and limited for a general-purpose 'MCP Agent with DashScope'. A single chat tool lacks the breadth expected for an agent interface, such as tools for different model types, configurations, or related AI tasks, making it under-scoped for its apparent purpose.
Completeness2/5
The tool surface is severely incomplete for an AI agent domain. While 'ai_chat' covers basic conversation, there are obvious gaps: no tools for model selection, parameter tuning, batch processing, or other common AI operations. This limits agents to only chat interactions, missing core functionalities expected from such a server.
Maintenance
ActivityInactive
ResponsivenessNo issues