Database Connector
This MCP server provides multi-database connectivity for AI assistants, supporting SQLite, PostgreSQL, MySQL, and SQL Server databases through a unified adapter-based architecture. Built by ExecuteAutomation using TypeScript with database-specific adapters and comprehensive tool sets, it offers capabilities for executing read/write queries with safety validations, managing database schemas through table creation/modification/deletion operations, exporting query results in CSV/JSON formats, and maintaining business insights through a built-in memo system. The implementation includes robust connection handling with parameterized queries, database-agnostic resource discovery for table schemas, and safety confirmations for destructive operations, making it valuable for AI assistants that need to analyze business data across different database systems, generate reports from existing datasets, or perform data management tasks while maintaining query safety and cross-platform compatibility.
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
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Database Connector 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.