"Testing Web App Code Changes in Browser Using LLM for Console Logs" matching MCP servers:

AI-powered MCP server for managing a Supabase Upload App, enabling blog posts, newsletters, subscribers, and more via natural language commands.

Enables AI assistants to resurrect expired domains by fetching archived URLs, scraping content from the Wayback Machine, and rewriting pages using AI. It provides comprehensive tools for SEO enrichment, AI image generation, and automated publishing to WordPress sites.

Provides MCP-compatible AI clients with full access to a Flarum forum's API, enabling reading, searching, creating discussions, replying, moderation, and management of users, tags, and groups.

Enables MCP-capable agents to manage Apple App Store Connect listings by validating repository-based metadata, planning changes, and applying approved updates through Apple's documented APIs.

Enables hosting interactive MCP apps on a dedicated /app route, rendering entity-specific layouts in iframes and relaying user actions through the MCP Apps extension.

Enables MCP clients to call Web Presentation platform capabilities through tools mapped to External API v1, using a dedicated async HTTP client for JSON, binary, OpenAPI, and job-waiting operations in a single-user stdio development setup.

Enables remote access to Contentstack App MCP tools over HTTP, deployable to platforms like Vercel or Contentstack Launch.

Enables the previewing of GitHub Flavored Markdown (GFM) as an MCP application. It provides a tool to render and visualize Markdown content using authentic GitHub styling and CSS.

An MCP server for converting App Store Optimization (ASO) data from platforms like App Store Connect into Web SEO data. It enables the creation of synced websites, keyword research, and automated blog content generation based on app store metadata.

Enables Claude to directly manage the Savage in a Suit website through 31 tools for pages, events, members, testimonials, podcast episodes, and site content, with all changes logged.

Provides AI agents with ground-truth knowledge of Strapi projects by reading real schema files, enabling accurate queries and safe refactoring operations.

A free WordPress plugin that turns your site into a governed MCP server, exposing 153 curated WordPress abilities (posts, media, users, WooCommerce, ACF, SEO) as tools for AI agents like Claude and Cursor. Every ability is off by default, scoped to a least-privilege user, capability-gated, and logged.

A local MCP server that bridges Claude Desktop to your WordPress site via the WordPress MCP Adapter. It dynamically discovers and proxies all tools, resources, and prompts registered through the WordPress Abilities API.

MCP server for publishing to WordPress. 13 tools cover posts, categories, tags, image hosting, featured images, and SEO metadata (Rank Math, etc.) One call runs the full markdown-to-live-URL pipeline.

A Model Context Protocol server for accessing NovaCV resume services API, enabling users to generate PDF resumes, analyze resume content, convert resume text to JSON format, and get available resume templates.

Connects MCP-compatible AI assistants to query and modify worldbuilding data (entities, relationships, timelines, etc.) with changes going through a review queue.

MCP server for AI-assisted WordPress editing across 12 page builders. 172 tools for content management, page builder editing, WooCommerce, SEO analysis, accessibility scanning, and site intelligence. Edits native builder formats (Elementor, Bricks, Divi, Gutenberg, Beaver Builder, and 7 more) with duplicate-before-edit safety, optimistic locking, and surgical element-level operations

Enables Claude to interact with a document processing backend, providing tools for listing, retrieving, uploading, and processing documents, as well as resources for pending documents and statistics.

MCP server for Joomla 5 & 6. Manage articles, categories, tags and more on your Joomla site from Claude, ChatGPT or any MCP client.

An MCP server that provides integration with Jira and Confluence for managing issues, boards, sprints, and documentation pages. It is specifically designed for native deployment on Heroku to enable AI models to interact with Atlassian resources using standardized tools.