StyleMCP vs textlint

StyleMCP checks AI-generated copy against brand rules, provides scores and actionable fixes, and can rewrite drafts to fit a brand voice. Its Learn My Voice feature analyzes supplied content to produce custom style rules. Users can start with SaaS, E-commerce, Healthcare, and Finance style packs or define rules in YAML. The AI Trust Layer is described as identifying voice drift, compliance risks, and hallucination patterns. Connections include MCP support for Claude and Cursor, a REST API, CLI, and GitHub Actions for CI/CD; the maker says it works with Claude, GPT, Llama, and any model. The core validation engine is open source and can run on a user's infrastructure with Docker Compose. The free plan includes 5,000 requests per month; Pro costs $9 a month and includes 25,000 requests. Each validate, rewrite, or batch API call counts toward usage, with batch requests counted by items. When a quota is exceeded, API requests return a 429 error until the monthly reset on the first.

textlint is a free, open-source tool for checking natural-language text against rules users install and configure. It parses text into an abstract syntax tree, evaluates that structure, and reports errors or warnings. Markdown and plain text are supported by default, while plugins can add HTML and other formats. The tool has no bundled default rules, so users need to select and set up the checks they want. Its CLI can automatically fix problems and produce output in multiple formats. The project lists integrations for Visual Studio Code, Vim, Emacs, Atom, Sublime Text, micro, and NetBeans, and text checks can run in GitHub Actions workflows for commits and pull requests. The CLI can also run as an MCP server, allowing AI assistants to lint and fix text using a project’s textlint configuration. For browser use, @textlint/editor is described as an offline text-linting extension. Developers can use the package’s high-level APIs to integrate textlint into applications. It requires Node.js 20 or later and is MIT-licensed.