"MCP server for task number 3 automation" matching MCP servers:

Create and save recipes in Paprika with natural language!

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.

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.

WordPress plugin that runs an MCP server on your own site: search and read published posts and pages, look up WooCommerce products, describe the site as schema.org types and query site figures, with drafts only when the site enables them. Signed-in access by default; anonymous access and OAuth are optional and off.

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.

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.

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.

Enables Language Models to interact with Notion workspaces through standardized tools for searching, reading, creating, and updating pages and databases.

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

Enables automated content generation and scheduling for Instagram and Pinterest via the Late API. It allows users to manage publications, generate AI-powered captions, and schedule posts or stories using natural language commands.

lets you interact with your meeting data (to list, ask, summarize, extract - virtually anything about your meeting) through Claude’s desktop client across Zoom, Google Meet and MS Teams via tl;dv.

GEO (Generative Engine Optimisation). This tool shows you exactly how AI search engines see your content - claim density, writing quality, E-E-A-T signals, extractability. Research-backed metrics that correlate with 40% higher AI citation rates.

Provides AI-powered tools to apply UX/UI best practices, Nielsen's heuristics, cognitive biases, and Material-UI patterns to React components. Enables automated application of responsive design, Apple design patterns, and complete UX guidelines through natural language commands.

Connects your WordPress.com account to Claude Desktop, enabling you to read your feed, check notifications, manage tags and follows, and discover new blogs through natural conversation.

Enables AI assistants to search internal knowledge bases, create Confluence articles, file Jira tickets, and look up Okta users, with guardrails and streaming support.

MCP server for Wiki.js with full GraphQL API coverage, fine-grained permissions, multi-user support, and deployable on Vercel.

Exposes a blog CRUD API (posts and comments) as MCP tools, with an integrated AI chatbot agent powered by Ollama Gemma2 for natural language interaction.

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.