SQL Server
This MCP server provides complete SQL Server database integration, enabling AI assistants to query databases, execute stored procedures, and manage database schemas across both single-database and server-wide contexts. Built by Aad Versteeg using .NET 8 with Microsoft.Data.SqlClient and a clean architecture pattern, it features dual operation modes (database-specific vs server-wide), comprehensive table and stored procedure management, SQL Server capability detection for version-specific features, parameter handling with JSON conversion, and extensive tooling for schema discovery, query execution, and data export/import operations. The implementation includes proper error handling, connection string management, Docker containerization, and supports both on-premises SQL Server and Azure SQL Database environments, making it valuable for database administration tasks, data analysis workflows, and any application requiring programmatic SQL Server access with intelligent feature detection.
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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · 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/akashcf/dotnet-mssql-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve SQL Server 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.