Capability
2 artifacts provide this capability.
Want a personalized recommendation?
Find the best match →** - A Go implementation of a Model Context Protocol (MCP) server for Trino, enabling LLM models to query distributed SQL databases through standardized tools.
Unique: Implements connection pooling in Go using the database/sql package with configurable pool parameters, avoiding the overhead of creating new connections for each query. Pool metrics are available for monitoring and debugging.
vs others: More efficient than creating a new connection per query because it reuses connections across multiple queries, reducing latency and resource overhead. Simpler than external connection pooling solutions (PgBouncer, Pgpool) because it's built into the MCP server.
via “connection pooling with configurable pool size and connection lifecycle management”
Neo4j Bolt driver for Python
Unique: Implements connection pooling with configurable min/max size (default 1-100), automatic idle connection eviction (30 minutes default), and heartbeat-based health checks. Pool exhaustion triggers backpressure (waiting for available connection) rather than unbounded connection creation, preventing resource exhaustion.
vs others: More efficient than per-query connection creation because persistent connection reuse reduces TCP handshake overhead by 95%, and automatic health checks eliminate stale connection errors without application intervention.
Building an AI tool with “Trino Jdbc Connection Pooling With Configurable Pool Size And Timeout”?
Submit your artifact →curl unfragile.ai/agents.md | sh© 2026 Unfragile. The platform for software for agents.