database-explorer-mcp
Related Servers
Alternatives to database-explorer-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to interact with PostgreSQL or MySQL databases using natural language. Supports SQL queries, schema discovery, and pre-built aggregations without writing SQL.191 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with and manage multiple database types (PostgreSQL, MySQL, SQLite, SQL Server, MongoDB, Redis) through natural language, supporting query analysis, schema management, data analysis, backup/restore, and security analysis.7 npm2MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to safely explore and query databases across SQLite, PostgreSQL, MySQL, and MSSQL, with schema introspection, natural language queries, and data profiling.MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with PostgreSQL databases through natural language queries, schema inspection, and safe SQL execution.7 npm1-
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to query databases using natural language, with automatic schema discovery and SQL compilation.1,042 npm3,168Apache 2.0
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with PostgreSQL and Supabase databases through natural language. Supports secure database operations including queries, migrations, and schema management with user-provided credentials.9 npm1MIT
TDQS
Scored across 13 tools
The set is mostly distinct: connection management, schema listing/description, querying, explaining, searching, stats, index suggestions, ERD, and export each have separate roles. Minor overlap exists between get_schema and list_tables/describe_table as aggregate vs granular schema tools, and export_data's relationship to run_query results is slightly unclear.
All 13 tools use snake_case and follow a predictable verb_noun or verb_resource pattern (e.g., list_tables, describe_table, run_query). No casing or style inconsistencies are present.
13 tools is well-scoped for a database exploration server, covering connections, schema, queries, and analysis without excessive surface area. Each tool appears to earn its place.
The surface covers connection lifecycle, schema discovery, query execution, explain plans, search, stats, index advice, ERD generation, and export. Minor gaps may exist (e.g., no explicit list_databases or transaction control), but agents can work around them via run_query and existing tools.