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650,495 tools. Updated 2026-10-13 17:13

"Analyzing Large Amounts of Text" matching MCP tools:

  • Create word cloud charts to visualize word frequency or importance through text size variation. Analyze common terms in social media, reviews, or feedback data.
    TypeScript
    MIT
  • Read text files with line-based pagination, returning numbered lines and header counts, including tail mode to view the last N lines of large files.
    Academic Free v1.1
  • Retrieve the full plain-text content of a Turkish legislation document using its legislation ID from search results.
    MIT
  • Retrieve full text/HTML content of an SEC filing exhibit, including exhibit type, description, company name, and form type. Truncate large exhibits with maxLength parameter.
    MIT

Matching MCP Servers

  • A
    license
    A
    quality
    C
    maintenance
    An MCP server that provides access to the Library of Babel, allowing users to retrieve exact page contents by address, search for text to find its location, and generate random pages.
    4
    2 npm
    ISC
  • A
    license
    A
    quality
    B
    maintenance
    Per-unit cost of 13 back-office tasks done by a person vs by software, in the US, Greece and Ukraine, with an official statistic behind every hourly wage. Bundled data, works offline.
    5
    35 npm
    MIT

Matching MCP Connectors

  • Text generation over MCP: prose, emails, blog outlines, SQL, humanizing, text diffs, fake data.

  • Text tools: stats, language, case, lines, replace, extract, keywords, summary, sentiment, diff.

  • Retrieve a compact table of contents for any German law, listing section numbers and headings. Navigate large statutes efficiently without loading full text.
    GPL 3.0
  • Locate nodes on a FigJam page by searching for text or name substrings, avoiding the need to list large boards.
    MIT
  • Analyze Bitcoin UTXO age cohorts to reveal dormant supply movement and accumulation patterns. Break down token amounts and USD values by cohort date to anticipate price shifts.
    MIT
  • Retrieve lists of IDs from NMDC collections in configurable batch sizes for efficient sampling or systematic analysis of large datasets.
    MIT
  • Identify whale and large order activity in crypto markets by analyzing order book and candlestick data. Specify trading pair, minimum size, and lookback window.
    MIT
  • Retrieve the XML source text of a CFR regulation node for a specified snapshot date. Narrow the query by part or section to prevent timeouts when fetching large titles.
    MIT
  • Open large files without reading the full text: returns a compact skeleton with expandable anchor IDs. Optionally search to locate relevant parts in one call.
    MIT
  • Fetch text file contents from a GitHub repository branch or commit. Returns content, SHA, size, and file URL, with offset-based pagination for large files.
    MIT
  • Retrieve detailed time-series data from Strava activities for analyzing workout metrics, visualizing routes, and performing activity analysis with flexible resolution and format options.
    MIT
  • Edit large files by searching and replacing text with fuzzy matching, preview changes before applying, and automatically create backups for safe undo.
    MIT
    Destructive