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260,860 tools. Last updated 2026-07-05 08:54

"A system for chaining LLMs to analyze web content and output reports and charts" matching MCP tools:

  • Generate chart images from Chart.js configuration. Visualize data as bar, line, pie, or scatter charts for reports and documentation.
    MIT
  • Retrieve time tracking statistics, summaries, and reports for a specified date range. Filter by project, team, user, or billing status to get aggregated totals and breakdowns.
    MIT
  • Extract web page content and convert it to clean, readable markdown format for analysis, bypassing paywalls and obtaining structured text data from websites.
    Apache 2.0
  • Analyze website structure by mapping URLs to discover content organization, navigation paths, and site architecture for audits and content discovery.
    MIT
  • Analyze code for performance issues and optimize Core Web Vitals. Scans HTML, CSS, and JS for resource loading, image optimization, and rendering performance.
    MIT

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  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • Rick and Morty MCP — wraps the Rick and Morty API (free, no auth)

  • Perform web searches to gather real-time information, news, and detailed content analysis with customizable parameters for results, domains, and timeframes.
    MIT
  • Generate interactive charts and visualizations from any data by providing an ECharts option as JSON. Customize size, theme, and export as PNG, SVG, or the raw option. Supports all ECharts chart types.
    MIT
  • Extract and process web content from URLs for data collection, content analysis, and research tasks, supporting multiple formats and extraction depths.
    MIT
  • Fetch any webpage and convert its content to Markdown format. Supports large pages with chunking and intelligent content extraction for AI-ready output.
    MIT
  • Extract the clean main content of any web page by rendering with real Chromium to handle JavaScript, then stripping ads and boilerplate. Returns Markdown, text, or HTML for use in LLMs and RAG.
    MIT
  • Structure and preserve research findings through a six-phase workflow: create outline, gather content, review quality, analyze data, verify claims, and finalize reports.
    MIT
  • Create a new space to organize charts and dashboards into logical groups. Use private spaces to restrict access to sensitive data.
    MIT
  • Convert web pages to clean markdown format by extracting content, removing unnecessary elements, and ranking information for RAG applications.
    MIT
  • Scrape any web page and get clean content in markdown, plain text, or raw HTML. Handles JavaScript rendering and anti-bot measures to deliver LLM-ready output.
    MIT
  • Retrieve all spaces in a Lightdash project, including UUID, name, privacy status, and counts of charts and dashboards for content organization.
    MIT
  • Generate structured analytics reports in table format for performance analysis, metric comparison, and data export from Kaltura media content.
    MIT