A
licenseNot graded
qualityC
maintenanceEnables LLMs to safely execute pandas code for data analysis and generate interactive visualizations through MCP protocol.
MIT
Pandas-MCP Server
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TDQS
A4.2/5.0
Scored across 4 tools
Disambiguation5/5
Each tool has a distinct purpose: generating charts, interpreting column data, reading metadata, and executing custom pandas code. There is no functional overlap, making it easy for an agent to select the correct tool.
Naming Consistency4/5
All tool names use a verb_noun pattern with snake_case, which is consistent and descriptive. However, two tools end with '_tool' while the others do not, introducing a minor inconsistency.
Tool Count5/5
With 4 tools, the server is well-scoped for a pandas utility. It covers essential operations (data inspection, interpretation, code execution, visualization) without unnecessary bloat, fitting the typical 3-15 range.
Completeness4/5
The tool set covers core data workflow steps: metadata reading, column interpretation, custom code execution, and chart generation. While explicit data loading or transformation tools are absent, the run_pandas_code_tool can handle those tasks, making the set mostly complete.
Maintenance
ActivityInactive
ResponsivenessUnresponsive