SQL Server
This MCP server provides robust SQL Server database access for AI agents through a well-architected .NET application built with Akka.NET for internal coordination and the official MCP C# SDK. Created by Aaron Stannard to address reliability issues with existing database MCP solutions, particularly on Windows, it offers three core tools: execute_sql for running any SQL query, list_tables for schema discovery with row counts, and list_schemas for database exploration. The implementation includes comprehensive error handling, T-SQL syntax validation to prevent invalid inputs from AI agents, automatic connection validation, and Docker support with multi-platform container builds, making it valuable for AI-powered database administration, data analysis workflows, and applications requiring reliable SQL Server integration across Windows, macOS, and Linux environments.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/aaronontheweb/mssql-mcp
- Author type
- human
- Updated
- 2026-08-29
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.