Database Query
This MCP server provides AI assistants with direct database access and querying capabilities across multiple database systems, built using Java with HikariCP connection pooling and comprehensive JDBC driver support. The implementation offers SQL query execution with configurable row limits and timeouts, database resource discovery including tables, views, and schemas with metadata extraction, and multi-database support spanning H2, PostgreSQL, MySQL, Oracle, SQL Server, and cloud analytics platforms like Snowflake and BigQuery through Maven profile-based driver packaging. Built with connection pooling, security controls including read-only modes and SQL length limits, both stdio and HTTP operation modes, and extensive test coverage with real database integration testing, it serves data analysis workflows requiring natural language database querying, business intelligence applications needing conversational data access, and development environments where AI-driven database exploration enhances productivity without direct SQL knowledge.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · 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/skanga/dbchat
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve 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.