db-tools-mcp
Related Servers
Alternatives to db-tools-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceProvides a semantic intelligence layer for SQL Server databases, enabling AI agents to understand schema structure, relationships, and safely interact through policy-gated tools.3MIT
- FlicenseNot gradedqualityAmaintenanceExposes a SQL Server database schema to AI assistants, enabling discovery of tables, views, stored procedures, functions, indexes, and foreign keys through MCP tools.-
- AlicenseAqualityDmaintenanceEnables AI agents to execute SQL queries and explore Snowflake databases using natural language, with schema discovery, table inspection, and readonly mode.11547 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to understand and query your database safely by providing a semantic layer of metadata, with tools to search, explain, validate, and generate safe SQL.2MIT
- FlicenseNot gradedqualityCmaintenanceExposes SQL Server stored procedures as tools for LLM clients (Claude Desktop, VS Code, Cursor, etc.) enabling direct database interaction through natural language.-
- AlicenseNot gradedqualityDmaintenanceEnables extraction and querying of database schema metadata from PostgreSQL, Snowflake, SQL Server, BigQuery, and Oracle databases, saving results locally for analysis.MIT
TDQS
Scored across 18 tools
Most tools have distinct targets (tables vs. stored procedures vs. schemas), and names clearly indicate the resource. However, there are multiple search tools for different entities and some overlap between list and get operations, but descriptions mitigate confusion.
All tool names follow a consistent verb_noun snake_case pattern (e.g., list_tables, search_columns). No mixed conventions or vague verbs, making the set predictable for an agent.
With 18 tools, the server covers a broad set of database metadata operations without unnecessary bloat. The count feels appropriate for a comprehensive metadata exploration tool.
The tool set covers source management, schema browsing, table/stored procedure inspection, search, and join discovery. All typical metadata exploration tasks are present, with no obvious gaps for the stated purpose.