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607,103 tools. Updated 2026-09-24 13:15

"Historical Cryptocurrency Data and Sector Trend Analysis" matching MCP tools:

Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Live US sector rotation for agents: 30 US equity sector baskets ranked by average move every session, versioned basket rosters, and a daily close record since July 2026 that is never backfilled. Hosted MCP server (Streamable HTTP); this repository holds the docs, config and registry server.json.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    MCP server for trend-pulse, an agentic trend intelligence platform that fetches and analyzes trending topics from 37 sources, provides search, historical data, and lifecycle prediction via 29 tools.
    186 PyPI
    60
    MIT

Matching MCP Connectors

  • Retrieve historical cryptocurrency price data as timestamp-price pairs for charting, trend analysis, backtesting, or volatility metrics. Supports 1–365 days with adaptive granularity.
    MIT
  • Analyze historical revenue for trend detection and generate forward-looking projections using simple moving averages to support financial planning and growth assessment.
    MIT
  • Get historical price chart data for any crypto token. Returns timestamped prices, volume, market cap, and period change for trend analysis. Specify symbol and days (max 365).
    MIT
  • Retrieves long-term health metric trends by merging recent daily data with historical summaries for multi-year and seasonal analysis.
    MIT
  • Retrieve a ticker's historical weekly trend-stage series with walk-forward computation, ensuring no lookahead bias for backtesting. Get up to 520 weeks of trend stages.
    MIT
  • Retrieve hourly aggregated trend data (min/max/avg) for specified Zabbix items, with optional time range and count output.
    MIT
  • Retrieve historical weather data for any location and date range to analyze climate trends, compare year-over-year patterns, and support research with daily and hourly summaries.
    MIT
  • Track daily crypto sector narratives over up to 90 days. Filter by sector to see market cap change, strength scores, and token counts, revealing which narratives are accelerating or fading.
    MIT