Microsoft SQL Server (MSSQL)
This MCP server implementation, developed by Dana K. Williams, provides secure interaction with Microsoft SQL Server databases. Built with Python and leveraging libraries like mcp and pymssql, it offers a bridge between AI assistants and SQL Server data. The implementation focuses on security, with detailed guidance on creating restricted SQL logins, implementing row-level security, and following best practices for monitoring and auditing. It's particularly useful for organizations needing to integrate SQL Server data into AI workflows while maintaining strict security controls, enabling tasks like data analysis, reporting, and database management through AI interfaces while ensuring data protection and compliance.
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/richardhan/mssql_mcp_server
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Microsoft SQL Server (MSSQL) 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.