SQL Server Pro
This MCP server provides comprehensive database access to Microsoft SQL Server instances through pyodbc, enabling AI assistants to inspect schemas, execute queries, and manage database objects including tables, stored procedures, views, and indexes. Built with extensive tool coverage for both read and write operations, it supports connection string configuration through environment variables, offers detailed schema introspection capabilities, and includes specialized tools for stored procedure management with parameter discovery and execution. The implementation provides safety through query type validation, separating read-only SELECT operations from write operations like INSERT/UPDATE/DELETE, and includes comprehensive database object management tools for creating, modifying, and deleting procedures, views, and indexes, making it valuable for database administration tasks, data analysis workflows, and applications requiring deep SQL Server integration.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/jensenloke/mcp-sqlserver-pro
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve SQL Server Pro from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.