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

⇱ Polars | Glama

  • Why this server?

    Provides high-performance data processing capabilities for mathematical and statistical operations.

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    Provides 21 mathematical tools across 6 domains including basic calculations, array operations, statistics, financial mathematics, linear algebra, and calculus. Supports batch execution for complex multi-step workflows with intelligent dependency resolution.
    Last updated
    21
    5
    MIT

  • Why this server?

    Supports high-performance data processing workflows using Polars through the `squire data` command for efficient DataFrame operations on large datasets.

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    Remote runtimes for validation and offload jobs.
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    16
    2

  • Why this server?

    Employed for high-performance data operations, enhancing server analytics and data processing capabilities.

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    A next-generation Minecraft server engine built with Python and Cython, aiming to deliver exceptional performance and flexibility through advanced scientific computing libraries and optimized architecture.
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    1

  • Why this server?

    Integrates with Polars to parse Japanese financial disclosure data (EDINET) into high-performance DataFrames.

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    Provides programmatic access to Japan's EDINET system to search for listed companies and retrieve annual or quarterly financial reports. It parses XBRL filings into structured data, enabling AI assistants to analyze balance sheets, income statements, and cash flows.
    Last updated
    11
    Apache 2.0

  • Why this server?

    Provides tools to search and retrieve Polars API documentation, list components, verify API references, and get version information.

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    A FastMCP tool to search and retrieve Polars API documentation with support for multiple transport methods.
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    72
    MIT