MSSQL Database Query
DBMCP is an MCP server that enables AI assistants to execute SQL queries on MSSQL databases and receive the results. Built with Python using the FastMCP framework and pymssql library, it exposes a single tool for executing queries against specified databases through a Server-Sent Events (SSE) interface. The implementation includes Docker containerization for easy deployment, environment variable configuration for database connections, and robust error handling. This server is particularly valuable for workflows requiring direct database access within AI assistant conversations, allowing data analysis and manipulation without requiring separate database tools.
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/verssae/dbmcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve MSSQL Database Query 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.