Skip to main content
Glama
305,560 tools. Last updated 2026-07-23 07:10

"Polars" matching MCP tools:

  • Returns a short-lived (15-min) download URL for a bulk Parquet object that can be piped directly into Python/DuckDB/Polars for high-throughput computation that exceeds the MCP context window. The URL streams the object straight from Valuein storage and supports HTTP range reads, so `duckdb.read_parquet(url)` / `pl.read_parquet(url)` work without downloading the whole file first. Datasets: fact (per-entity partition — requires ticker), ratio (all computed ratios), valuation (DCF inputs), filing (SEC filing metadata), references (company universe), index_membership (historical index composition). Scoped to the caller's tier bucket; the link is signed and cannot be used to list the bucket or read other objects.
    Connector

Matching MCP Servers

Matching MCP Connectors

  • Merchant-of-record MCP: AI agents sell software & digital goods, global tax handled, BYO key.

  • The Polar Signals MCP server enables AI assistants to connect directly with performance profiling data, allowing users to analyze application performance through natural language queries. Key capabilities include querying CPU performance and memory usage, exploring profiling metadata like profile types and labels, and providing AI-driven code optimization suggestions directly within development environments like Claude Code or Cursor.