F
licenseNot graded
qualityD
maintenanceEnables LLMs to perform statistical analysis and generate ML predictions on user data from databases or CSV files through a Model Context Protocol server.
2
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stata-mcp
by horizonial
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TDQS
A3.6/5.0
Scored across 10 tools
Disambiguation4/5
Each tool maps to a distinct activity—executing code, loading data, inspecting data, viewing rows, retrieving results, exporting graphs, getting help, and managing sessions/tasks. There is minor potential confusion between inspect_data and get_results since both can return summary-like structured output, but the descriptions clarify the intended use.
Naming Consistency3/5
The consistent stata_ prefix and snake_case help, but the pattern is mixed: most tools use verb_noun (stata_load_data, stata_inspect_data, stata_export_graph), while others are noun phrases (stata_data_rows, stata_session_history, stata_task_status). This makes the set slightly less predictable.
Tool Count5/5
Ten tools is well-scoped for a Stata MCP server, covering command execution, data access, session management, help, and output export without redundancy or bloat. Each tool earns its place in the analysis workflow.
Completeness4/5
The tool surface covers the core Stata workflow—load data, inspect it, run commands, retrieve results, export graphs, get help, and manage tasks/sessions. A few optional additions like saving/exporting datasets or managing working directories are absent, but agents can work around these with stata_run, so there are no major dead ends.
Maintenance
ActivityMaintained
ResponsivenessNo issues