"Using OpenRouter to Access Available Language Models" matching MCP servers:

Allows Cursor AI to communicate with Figma for reading designs and modifying them programmatically through a Model Context Protocol integration.

Converts Markdown files to Atlassian Document Format and publishes them to Confluence, with support for rendering Mermaid diagrams as PNG attachments.

An MCP server that automates converting diverse content sources like WeChat articles, YouTube videos, and various document formats into AI-generated outputs such as podcasts and slide decks via Google NotebookLM. It integrates specialized tools for web scraping, OCR, and file transformation to facilitate seamless content generation through natural language.

Enables Cursor AI to communicate with Figma for reading designs and modifying them programmatically, allowing users to automate design tasks through natural language.

An MCP server that converts Markdown to HTML, supporting both stdio and HTTP interfaces for easy integration with Cursor and other MCP clients.

Converts Figma designs into React components with TypeScript and Tailwind CSS by extracting components from Figma files and transforming them into ready-to-use code.

Enables publishing content to multiple social media platforms (YouTube, Twitter, Facebook, Instagram, TikTok, Reddit, Blog) through automation agents, with task management and system validation.

An MCP server that converts Markdown content to Notion API-compatible formats, suitable for content management and development integration.

Converts Figma designs to React Native components, allowing users to extract components from Figma designs and generate corresponding React Native components with proper typing and styling.

Enables AI assistants like Claude Desktop to interact directly with Figma, allowing natural language commands to create, modify, and analyze designs including shapes, text, components, and layouts in real-time.

Converts Markdown documents to professional Word documents with advanced formatting capabilities including mathematical formulas, custom styling, tables, images, headers/footers, and watermarks.

Enriches Claude with tools to generate brand-consistent images using OpenAI's gpt-image-2 and upload them directly to Notion pages.

Enables interaction with table data in a Federated Wiki, supporting CSV, TSV, JSON, and markdown pipe tables, with CRUD operations via REST and MCP tools.

Enables interaction with the dev.to platform through its public API. Allows users to retrieve articles, user profiles, tags, comments, and perform article searches without requiring authentication.

Enables conversion of Markdown content into PowerPoint presentations using pandoc. Supports custom templates for consistent branding and can process both direct markdown text and files.

Enables management of LaunchNotes projects and announcements through natural language, including customization of themes, colors, content, and publishing announcements with full read/write access via the LaunchNotes GraphQL API.

An implementation of the Model Context Protocol that provides AI models with standardized access to Kaltura's media management capabilities including uploading, retrieving metadata, searching, and managing categories and permissions.

AI-powered WordPress management that enables creating and editing posts, pages, media, plugins, themes, and Gutenberg blocks through natural language with safe-by-default writes and full rollback support.

Connects any MCP-compatible AI assistant to Strapi CMS for content management, media handling, internationalization, and more through natural language.

Enables an MCP-capable assistant to read-only access XWiki spaces, pages, and attachments through the XWiki REST API.