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URL: https://glama.ai/mcp/servers/integrations/timescale

⇱ Timescale | Glama

  • 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.

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    Enables semantic search across PostgreSQL, TimescaleDB, and PostGIS documentation to help AI coding assistants write better PostgreSQL code.
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    Apache 2.0

  • 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.

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    Enables AI assistants to interact with TimescaleDB time-series databases through async operations, providing tools for querying, schema introspection, hypertable analysis, and time-bucketed data aggregation.
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    MIT

  • Why this server?

    Integrates with TimescaleDB for hypertable management and time-series data operations.

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    A production-grade Model Context Protocol server for PostgreSQL. Lets AI agents safely inspect, query, operate, and tune a Postgres database — over 100 tools spanning catalog introspection, query intelligence, natural-language SQL, structural diffs, hybrid search, graph queries, data movement, live ops, and more.
    Last updated
    4
    MIT

  • Why this server?

    Stores time-series market data in TimescaleDB for efficient querying and analysis of historical market statistics

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    Provides comprehensive statistics and advanced analysis tools for the Korean stock market, offering real-time index data, sector analysis, investor trend tracking, and AI-based market pattern recognition.
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    MIT

  • Why this server?

    Provides secure access to TimescaleDB Cloud databases with tools for executing SQL queries, listing tables, and retrieving table schema information.

  • Why this server?

    Provides time-series database capabilities built on PostgreSQL for efficient data management.

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    A FastAPI-based MCP server orchestrated with Docker Compose, integrating Redis caching and TimescaleDB for time-series data management.
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