Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and AI tells. Returns a report with line and column details.
MIT
450,876 tools. Updated 2026-08-12 20:30
"Guidance for writing a conclusion for a long text" matching MCP tools:
- Check character limits for each metadata field and soft guidance for screenshot headlines and captions before writing copy.MIT
- Retrieve repository-specific vocabulary for a file's language—typical callees, imports, and replacement guidance—so code generation matches existing patterns.MIT
- Generate a validated slice mock (mocks.json) covering all variations, with guidance for text-only refinements based on user intent.Apache 2.0
- Get Maestro flow syntax guidance and best practices for writing and exporting flows.MIT
- Retrieve full review text, all existing signals, and page metadata for a book or investigation. Use this as a starting point before writing a signal.MIT
Matching MCP Servers
- AlicenseAqualityDmaintenanceMCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.11MIT
- Flicense-qualityCmaintenanceLocal MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.
Matching MCP Connectors
Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.
Manage your Canvas coursework with quick access to courses, assignments, and grades. Track upcomin…
- Retrieves the plain-text conclusion of an evidence review from evipedia using a slug or full URL. Returns the key takeaway without extra details.MIT
- Get compact guidance for writing memory notes in plain text, ensuring clarity without using AAAK-prefixed labels.MIT
- Retrieve specific recital text from EU regulations like GDPR or AI Act to understand legal context and interpretation guidance for articles.Apache 2.0
- Clear all premises and conclusion from a session to reset it for new proof inputs.MIT
- Record the final synthesized answer for a reasoning session and refresh artifacts after the thought graph supports a conclusion.Apache 2.0
- List generated long-term interval summaries for a project to review past context before continuing writing. Fetch up to 100 summaries per page.MIT
- Generate a text-free YouTube thumbnail image from a single-subject, high-contrast prompt. Sizes: 1536x1024 for long-form, 1024x1536 for shorts.MIT
- Retrieve all CI checks for a GitHub pull request, including conclusion and URL. Returns aggregated check rollup for triaging failures.MIT
- Collect detailed user input through a multi-line text dialog, ideal for obtaining code, descriptions, or long-form content.MIT
- Retrieve status, conclusion, and output for a single check on a Vercel deployment using the deployment and check IDs.MIT
- Update a check's status, conclusion, or output using its unique ID for any deployment.MIT
- Write text into a SAP GUI multiline text editor for long texts, notes, comments, or document content by specifying the textedit ID and the text.MIT
- Rewrite text using a voice profile or general writing rules. Adjust content for platform and brand voice to improve consistency and clarity.MIT
- Finalize and store the conclusion of a thought process in persistent memory for continuous learning and reasoning.MIT