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114,467 tools. Last updated 2026-04-21 14:35
  • Analyze text to calculate character, word, line, sentence, paragraph counts and reading time for content assessment.
    MIT
  • Perform note management operations including listing, reading, writing, moving, deleting, renaming, and appending to notes within Obsidian vaults.
    Apache 2.0
  • Retrieve metadata and statistics about Obsidian notes, including tags, dates, size, frontmatter properties, word count, and link information without reading the content.
    MIT
  • Retrieve file metadata like size and line count without accessing file contents. Helps determine optimal reading strategies for large files by analyzing file characteristics first.
    MIT
  • Retrieve class definitions and specific methods without reading entire files to reduce token usage by 80%+ in code navigation.
    MIT

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  • Extract content from Word (.docx) documents and convert it to Markdown format for reading, summarizing, editing, or processing within Claude.
  • Analyze Markdown documents to extract detailed statistics including word count, reading time, and structural elements like headings, tables, and code blocks.
    MIT
  • Remove VML watermarks like DRAFT from Word document headers by detecting and deleting standard <v:shape> elements in header XML files.
    MIT
  • Extract content from documents including Excel, Word, PowerPoint, PDF, and text files using raw or paginated reading modes with interactive UI support.
    MIT
  • Generate random words by type (noun, verb, adjective, adverb) for creative writing, games, and language learning applications using API Ninjas Random Word API.
    MIT
  • Extract and convert data from Excel files by reading specific sheets, cell ranges, or searching for values in columns, with output in JSON, CSV, or table format.
  • Retrieve a structured summary of crawled web pages displaying URLs, titles, and word counts to identify content-rich pages and prioritize detailed review.
    MIT
  • Convert Markdown text to Microsoft Word DOCX format with styled headings, lists, and code formatting. Generate editable Word documents from structured content for professional editing and distribution.
    MIT
  • Set configuration options for MiSTer-FPGA cores, automatically backing up files before writing changes to ensure system stability.
    MIT
  • Read multiple files simultaneously to reduce API calls, with automatic encoding detection and support for reading specific line ranges in each file.
    MIT
  • Analyze text readability and grammar to ensure content meets target reading levels. Provides Flesch Reading Ease scores, grade level assessments, and grammar corrections.
    AGPL 3.0
  • Retrieve specific function implementations from code files to reduce token usage by extracting only needed function definitions instead of reading entire files.
    MIT
  • Index local source files into a semantic cache to enable AI assistants to find relevant code through semantic search instead of repeatedly reading entire codebases.
  • Convert Markdown text to a Word document and save it locally. Use this tool to create properly formatted .docx files with headings, bold, italic, tables, lists, and code blocks from Markdown content.
  • Understand LaunchFrame project variants (Base, Multi-tenant, B2B2C) by reading the .launchframe file to identify active variant and account for behavioral differences when writing new code.
  • Read file contents with line numbers, auto-detect encoding for text files, and handle images as base64. Supports reading specific line ranges with offset and limit parameters.
    MIT
  • Find the base form and grammatical category of any Icelandic word. Input an inflected word to get its lemma(s) and word class(es) from the Icelandic Morphology database.
    MIT
  • Enables simultaneous reading of multiple files in allowed directories, returning content with file paths. Ideal for efficient analysis or comparison. Handles failed reads without interrupting the entire operation.
    MIT
  • Reverse text character-by-character or word-by-word, with palindrome detection. Use this tool to transform text order for analysis or creative purposes.
    MIT
  • Convert Markdown files to Word documents with proper formatting including headings, tables, lists, and images. The tool processes files locally without cloud upload.
  • Extract file signatures including headers, types, and method prototypes to understand code structure without reading entire files.
    MIT
  • Extract function signatures, class definitions, and docstrings from code files to understand module usage without reading full implementations.
    MIT
  • Create or update files by writing content to specified paths, automatically generating required directories and overwriting existing files when needed.
    MIT
  • Read, search, list, and backup files from Git repositories without modifying content. Supports local and remote repositories including GitHub and Gitea for secure file management operations.
    MIT
  • Accept a content suggestion to begin article writing on the Balzac AI platform. Changes suggestion status to accepted and initiates the article creation process.
  • Reads content from local files including PDF, Office documents, CSV, and text files with automatic format and encoding detection.
  • Generate new file drafts by analyzing user intent and local code patterns to create structured content without writing files.
    ISC
  • 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