"X++ Programming Language (Microsoft Dynamics AX)" matching MCP servers:

A Model Context Protocol server that enables AI assistants like Claude to read from, append to, and format text in Google Documents programmatically.

AutomateLab Content Distribution publishes content across DEV.to, Hashnode, GitHub Discussions, Reddit and Bluesky, with browser workflows for LinkedIn, Medium and X. Tracks publishing state and adapts content per platform. Product and documentation: https://automatelab.tech/products/mcp/content-distribution-mcp/

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.

An MCP-compatible server that uses iFlytek's large language model to generate PowerPoint presentations, offering template selection, outline creation, and PPT generation with features like automatic image insertion.

Enables publishing local Markdown files to Velog with idempotent updates. Supports login, post management, and series operations through natural language.

MCP server for Substack's official Publisher API that enables querying post analytics, subscriber counts, and publication data through natural language from MCP clients.

A server providing tools to read, write, and edit Microsoft Word (docx) files through the Model Context Protocol, allowing operations like complete document reading, content creation, targeted paragraph editing, and text insertion.

Converts Microsoft Office documents (Word, Excel, PowerPoint) to Markdown format with intelligent image extraction and optimization, preserving document structure and metadata.

Enables AI agents to interact with Jotify Moment for publishing photo/text posts, uploading media, retrieving recent posts, and validating API tokens through natural language.

MCP server that lets agents edit real Microsoft Word (.docx) documents - tracked changes, tables, styles, comments, content controls, and document properties - with every edit validated and previewed before saving. Built on the Open XML SDK (no Word automation); reads and writes documents in place through filesystem or SharePoint storage.

Enables natural language management of landing pages and ad campaigns, with dry-run confirm and audit for write operations.

An MCP server for managing Wiki.js 2.x pages through its GraphQL API, enabling search, read, create, update, move, delete, version history, and asset listing.

Enables creating, reading, and managing HedgeDoc 1.x notes and Mermaid diagrams from AI agents via the MCP protocol.

MCP server for interacting with self-hosted HedgeDoc 1.x, enabling AI agents to create, read, update, and manage notes via session-cookie authentication with automatic re-login.

Bridges AI assistants to WebCake, enabling users to build, validate, and save editable landing pages from natural language descriptions.

Enables AI assistants to manage Bricks Builder pages, templates, and elements via natural language, with multi-site and CPT support.

Enables AI tools to research, write, and publish finished blog posts to Ghost and WordPress in the user's voice, supporting multiple author personas and destinations through natural language.

Enables AI agents to interact with Jira Cloud and Confluence through natural language, performing JQL searches, issue management, and Confluence page creation.

Cross-publishes a single markdown draft to 5 CMS platforms (dev.to, Hashnode, Ghost, WordPress, Medium) and 4 social networks (Bluesky, Mastodon, LinkedIn, X) from any MCP client, with built-in SEO scoring, schema.org JSON-LD, and canonical URL handling so cross-posts compound search rankings instead of competing.