A
licenseNot graded
qualityD
maintenanceEnables AI assistants to generate realistic, relationship-preserving test data from Seedbase projects into databases.
47 npm
MIT
Relational DB Seeder MCP Server
by NamanT98
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- FlicenseNot gradedqualityAmaintenanceEnables LLMs to inspect database schemas and execute SQL queries, including listing tables and describing table schemas.-
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- FlicenseNot gradedqualityAmaintenanceEnables LLMs to inspect database schemas and execute SQL queries, list tables, and describe table schemas.-
- FlicenseNot gradedqualityAmaintenanceEnables LLMs to inspect database schemas and execute SQL queries, list tables, and describe table schemas.-
- FlicenseNot gradedqualityAmaintenanceEnables LLMs to inspect database schemas and execute SQL queries. It also supports listing tables and describing table schemas.-
TDQS
A4.4/5.0
Scored across 4 tools
Disambiguation5/5
Each tool serves a clearly distinct purpose: status check, schema retrieval, graph-based seeding, and arbitrary SQL execution. The descriptions explicitly distinguish insert_graph from execute_query, leaving no ambiguity about when to use which.
Naming Consistency5/5
All tool names follow the same verb_noun pattern in snake_case: get_database_status, get_schema, insert_graph, execute_query. This consistent convention makes the toolset easy to learn and predict.
Tool Count5/5
With only 4 tools, the server is tightly focused on its purpose of seeding relational databases. Each tool is necessary and none is redundant, making the scope well-calibrated.
Completeness5/5
The toolset covers the full workflow: inspecting database status, reading schema, inserting relational data with dependency handling, and executing arbitrary SQL for validation or modifications. No obvious gaps for the seeder domain.
Maintenance
ActivityInactive
ResponsivenessNo issues