Azure SQL MCP
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- AlicenseNot gradedqualityCmaintenanceProvides tools for querying and managing Microsoft SQL Server databases, including stored procedures and SQL Server Agent jobs as code with version control integration.13 PyPI1MIT
- AlicenseBqualityAmaintenanceEnables secure database operations on SQL Server instances through a three-tier safety system, supporting schema exploration, query execution, performance analysis, and data export with configurable security levels from read-only to full development access.16233 npm6MIT
- AlicenseAqualityCmaintenanceEnables safe read-only interaction with SQL Server and Azure SQL databases, providing schema exploration, query linting and analysis, query plan insights, write previews as SELECTs, and a versioned library of .sql queries via MCP.29MIT
- AlicenseNot gradedqualityDmaintenanceEnables interaction with Microsoft SQL Server databases through a virtual filesystem interface, comprehensive stored procedure management with draft-test-deploy workflows, safe write operations with transaction control, and performance analysis capabilities.3,569 npmMIT
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to inspect schemas, analyze performance, check security, and troubleshoot SQL Server 2019+ databases through a safe, controlled interface.-
- AlicenseNot gradedqualityAmaintenanceEnables interaction with Microsoft SQL Server by executing queries, statements, and stored procedures, as well as retrieving schema metadata through the Model Context Protocol.3 npmMIT
TDQS
Scored across 76 tools
Many tools have overlapping purposes, such as get_wait_stats vs get_query_wait_stats vs get_currently_waiting_tasks, and analyze_query_indexes vs analyze_workload_indexes vs optimize_indexes. This makes it difficult for agents to select the correct tool for a given task despite detailed descriptions.
All tool names follow a consistent snake_case verb_noun pattern (e.g., get_, list_, analyze_, compare_, start_), with no mixed conventions or ambiguous naming styles. The verbs vary but are semantically appropriate.
76 tools is far beyond the typical well-scoped MCP server and represents an extreme number that overwhelms agents and complicates tool selection. Even for a comprehensive Azure SQL server, this count is excessive.
The tool set covers the full lifecycle for Azure SQL management: schema exploration, query execution, performance tuning, index optimization, plan management, schema comparison/migration, and operational diagnostics. It also includes learning and handoff tools, filling potential gaps. No obvious missing capabilities exist for the domain.