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338,921 tools. Last updated 2026-07-30 05:16

"Tools for Data Analysis" matching MCP tools:

  • Retrieve available assistive-technology profiles, each modeling a specific screen reader and platform with navigation cost weights. Use the returned profile IDs to configure analysis tools.
    Apache 2.0
  • Analyze local AI tool usage data to compute market share by tokens, cost, and messages. Rank tools by token share to identify dominant tools in your workflow.
    MIT
  • Retrieve server version, Registry mode, data-contract compatibility, source freshness, counts, and available tools for the Gaia MCP server.
    MIT
  • Upload files from your host system to the REMnux malware analysis environment for examination. Transfer files up to 200MB to the samples directory for use with analysis tools.
    GPL 3.0
  • Analyze suspicious files for malware using REMnux tools. Detects file type automatically and runs appropriate analysis tools with configurable depth levels for triage or comprehensive investigation.
    GPL 3.0

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  • Identify file types and get recommended REMnux malware analysis tools to plan investigation strategies before execution.
    GPL 3.0
  • Start a new terminal process with smart state detection for file analysis, data processing, and command execution. Use with interact_with_process for local file work.
    MIT
  • Load OHLCV candle data from Yahoo Finance or a raw array. The data persists in the session for use by subsequent market analysis tools.
    Apache 2.0
  • List all available data collections including boundaries, NRM networks, demographics, and analysis grids. Returns collection ID, title, and description for each.
    MIT
  • Verify which REMnux malware analysis tools are installed and available. Get a summary of installed versus missing tools across all file type categories.
    GPL 3.0
  • Executes registered reconnaissance tools in dependency-aware waves to extract security signals and build a threat analysis payload.
    MIT
  • Retrieve OHLCV candlestick data for on-chain derivatives markets to perform price analysis and charting.
    MIT
  • Execute all registered reconnaissance tools in dependency-aware waves to extract security signals and build a final threat analysis payload for a given domain.
    MIT
  • Extract and process web content from URLs for data collection, content analysis, and research tasks, supporting multiple formats and extraction depths.
    MIT
  • Retrieve comprehensive token and contract data endpoints for detailed analysis, including metadata, holder distributions, contract details, transaction forensics, and address tracking across multiple networks. Ideal for security analysis, token discovery, and lifecycle event monitoring.
    MIT