Compute comprehensive text statistics including character, word, sentence, paragraph counts, reading time, and readability scores for a full linguistic profile.
MIT
206,834 tools. Last updated 2026-06-17 16:41
"Reading and Writing Word Files" matching MCP tools:
- Find words by meaning, sound, rhyme, or spelling pattern. Useful for writing, creative tasks, and word games.MIT
- Analyze text to get detailed statistics including character, word, line, sentence, and paragraph counts with estimated reading time.MIT
- Analyze Markdown documents to extract detailed statistics including word count, reading time, and structural elements like headings, tables, and code blocks.MIT
- Convert PDF, Word, Excel, and PowerPoint files to Markdown format using an absolute file path to extract and structure document content.MIT
- Extract and convert PDF, Word, Excel, and PowerPoint files to Markdown format using the NiuTrans API for readable text content.MIT
Matching MCP Servers
- FlicenseBqualityDmaintenanceA lightweight MCP server for basic file operations, enabling reading, writing, and listing files securely via the Model Context Protocol.Last updated31
- Alicense-qualityDmaintenanceEnables reading, creating, and appending content to Microsoft Word (.docx) files through natural language commands.Last updatedMIT
Matching MCP Connectors
Generate word clouds from text with custom fonts, colors, backgrounds, gradients, and shape masks
Manage files and folders directly from your workspace. Read and write files, list directories, cre…
- Calculate word count, character count, line count, paragraph count, sentence count, and reading time for any text input. Micropayments via USDC on Base.MIT
- Extracts text from images, Word documents, and PDF files using OCR. Returns recognized text content.MIT
- Input word count and optional reading speed to get estimated reading time in hours and minutes.MIT
- Count characters, words, lines, sentences, and paragraphs in a text block. Get reading time estimates and top frequent characters for quick analysis.MIT
- Retrieve personal context from structured About Me/ memory files. Read dated bullet entries for a specific section or all files at once.MIT
- Transcribe audio files from a public URL to text with punctuation, language detection, and word timestamps. Optionally identify speakers with diarization.MIT
- Pack relevant code and episodic context into a token-bounded block for prompt injection. Call before reading files to avoid wasting tokens.MIT
- Find any word in symbol names, docstrings, and comments across the codebase. Returns matching files and lines sorted by path.MIT
- Format Rego policy files by running opa fmt and writing changes directly to disk. Supports dry run to preview modifications without altering files.MIT
- Persist OpenSIPS configuration sessions by writing main and local M4 files to a specified directory, with the option to preprocess and generate the final cfg file. Ensures safe output by rejecting system directories.Apache 2.0
- Download a blueprint as an Agent Skills directory, returning a JSON manifest of all files (SKILL.md, reference docs, scripts) to write to disk for any coding agent. Avoid reading individual tools.MIT
- Create word cloud charts to visualize word frequency or importance through text size variation. Analyze common terms in social media, reviews, or feedback data.TypeScriptMIT
- Explore and retrieve available writing styles and tones to enhance text rephrasing and language translation using the DeepL MCP Server.MIT
- Create word clouds to visualize word frequency or Venn diagrams to show set relationships and intersections from your data.MIT