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618,148 tools. Updated 2026-09-28 00:35

"A server for writing tips and creative writing resources" matching MCP tools:

  • Run a local heuristic audit of text to detect AI-writing patterns, returning a score, up to 100 flagged patterns, and highlighted sentence regions. No network calls are used.
    MIT
  • Generate ad copy, hooks, scripts, rewrites, or brainstorms with Claude, Gemini, GPT, Llama, and DeepSeek writing models. Prompt-only; raw mode returns unstyled model answers.
    MIT

Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    An MCP service for AI-assisted reasoning and editing on long-form fiction projects. It builds a structured index from scene files for targeted context retrieval.
    50 npm
    1
    AGPL 3.0
  • A
    license
    Not graded
    quality
    A
    maintenance
    MCP server offering text analysis tools for writing improvement, including spellcheck, readability, keyword analysis, passive voice detection, and AI-generated content detection.
    10
    MIT

Matching MCP Connectors

  • Writing Style Checker (WSC) is a prose linter with an AI-tells detector: alongside classic checks (weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs) it flags 190+ research-cited words, phrases, and structural patterns overrepresented in AI-generated text — each with an explanation and source.

  • Rafe Blandford's published career, case studies and writing. Read-only; no route to contact him.

  • Retrieve a list of predefined writing skills to standardize content quality across your organization.
    MIT
  • Retrieve available databases, tables, and field schemas before writing SQL queries to confirm existing structures.
    MIT
  • Retrieve a specific reusable writing skill by its unique name. Use this to access predefined writing skills for consistent content creation.
    MIT
  • Delete a reusable writing skill by its name. Removes the skill from your account.
    MIT
    Destructive
  • Retrieve database tables and columns in an LLM-friendly format before writing SQL queries against an existing database.
    MIT
  • Plan atomic semantic AST edits to preview a reversible, stale-guarded source patch before writing the document.
    MIT
  • Define a reusable writing skill with name, description, and instructions. Save time by applying consistent writing rules across your work.
    MIT
  • Update an existing writing skill's name, description, or instructions to refine your content creation workflow.
    MIT
    Destructive
  • Retrieve column definitions and foreign key relationships for a specified table to understand its structure before writing queries.
    MIT