mcp-server-rdbms
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- 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
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with relational databases such as MySQL, PostgreSQL, SQLite, SQL Server, and Oracle. Provides tools for querying, data inspection, and schema analysis with optional read-only mode.6 npm1MIT
- FlicenseNot gradedqualityAmaintenanceEnables LLMs to inspect database schemas and execute SQL queries. It also supports listing tables and describing table schemas.-
- AlicenseAqualityAmaintenanceEnables AI agents to inspect database schemas and run strictly read-only SQL queries with guardrails against destructive statements, multi-statement chaining, and unbounded scans. Supports SQLite natively and PostgreSQL optionally.4MIT
- AlicenseNot gradedqualityDmaintenanceEnables secure interaction with multiple SQL database engines (MySQL, PostgreSQL, SQLite, SQL Server) through a standardized interface. Supports schema inspection, safe query execution, and controlled write operations with built-in security restrictions.5MIT
- FlicenseAqualityDmaintenanceEnables LLM agents to perform CRUD operations across multiple databases including PostgreSQL, MySQL, and SQL Server using SQLAlchemy. It features configurable permission management and secure connection handling with automatic password redaction.4-
TDQS
Scored across 6 tools
Each tool targets a clearly distinct action: DDL vs DML vs read-only query vs schema introspection (describe vs list) vs environment info. There is no meaningful overlap, and an agent can reliably select the correct tool.
Names fall into coherent prefix groups (sql_*, schema_*, db_*), and within each group the convention is consistent. However the set mixes verb_noun (schema_list_tables) with noun_abbreviation (sql_ddl, sql_query, db_info), so it is not one unified pattern.
Six tools is a well-scoped surface for a database server, covering exactly the core categories (DDL, DML, query, describe, list, info) with no redundant entries.
The surface covers the full data lifecycle: schema inspection, listing, DDL for structure, DML for writes, and read queries. Minor gaps remain (no explicit transaction-control or user/permission management tool), but core workflows are fully supported.