Timescale is a company that provides a time-series database built on PostgreSQL. They offer TimescaleDB, which is designed for storing and analyzing time-series data at scale while maintaining SQL compatibility.
Why this server?
Integrates with TimescaleDB for hypertable management and time-series data operations.
Why this server?
Fetches and caches official documentation for TimescaleDB, providing relevant sections to coding agents via llms.txt-first retrieval.
Why this server?
Provides KPI tools (Productivity, Quality, Downtime, Alarms) for Factory Intelligence by querying a TimescaleDB database.
Why this server?
Manages and queries Tiger Cloud database services (TimescaleDB/PostgreSQL), providing tools for service lifecycle (create, fork, start, stop, resize, delete), database operations (execute SQL queries, view schema), and connection management.
Why this server?
Provides version compatibility checks and comparisons for TimescaleDB, aiding in tool selection within a stack.
Why this server?
Provides documentation and AI-optimized skills for TimescaleDB, including best practices for time-series data management and performance.
Why this server?
Set up time series storage with TimescaleDB.
Why this server?
Stores time-series market data in TimescaleDB for efficient querying and analysis of historical market statistics
Why this server?
Enables AI assistants to interact with TimescaleDB time-series databases, providing tools for executing queries, managing tables and hypertables, querying time-series data with bucketing and aggregation, and exploring database schemas through MCP resources and prompts.