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Collect and analyse data

From pages on the web to a clean table and a chart you can share.

  1. 1

    Collect from the web

    Adaptive scraping that survives layout changes, from one page to a full crawl.

    Recommended

    MCP serverSafe

    Scrapling

    D4Vinci

    An adaptive Python web scraping framework that handles single requests to full-scale crawls, featuring anti-bot bypass, proxy rotation, and an MCP server for agent integration.

    89kBSD-3-Clause
  2. 2

    Clean it in a spreadsheet

    The agent writes the table, formulas and formatting into a real Excel file.

    Recommended

    MCP serverSafe

    excel-mcp-server

    haris-musa

    This MCP server enables AI agents to create, read, edit, and format Excel workbooks safely without needing Microsoft Excel, supporting cells, formulas, structures, and conditional formatting.

    4.2kMIT
  3. 3

    Chart it

    More than 25 chart types from plain data.

    Recommended

    MCP serverSafe

    mcp-server-chart

    antvis

    Enables AI agents to generate over 25 types of data visualizations and charts using AntV via an MCP server, facilitating data analysis.

    4.4kMIT
  4. 4

    Query your warehouse

    Gives the agent your dbt models and the semantic layer, so its numbers match your definitions.

    Recommended

    MCP serverSafe

    dbt-mcp

    dbt-labs

    MCP server that gives your agent dbt project context, plus tools to run SQL and query the Semantic Layer across dbt Core, Fusion and Platform.

    607Apache-2.0

Picks reviewed by hand: a recommended resource is rated Safe with a quality score of 85 or more and updated in the last 90 days. Alternatives marked Caution are worth reading about first.