"A server for generating LinkedIn posts, PowerPoint presentations, and summarizing emails" matching MCP servers:

Creates and manipulates PowerPoint presentations with capabilities for adding various slide types, generating images, and incorporating tables and charts through natural language commands.

An MCP server that gives AI agents real-time control over Microsoft PowerPoint via COM automation, offering 156 tools across 26 categories for creating, editing, and formatting presentations directly in a running PowerPoint instance.

Enables AI agents to create, edit, and manage native Windows PowerPoint presentations via COM, including connecting to existing instances, inspecting master layouts, adding slides, inserting custom shapes, exporting slide images for visual review, and saving—all through the Model Context Protocol.

Full-featured PowerPoint MCP server with cross-platform support (Windows native, macOS designed). Control PowerPoint programmatically via the Model Context Protocol — 153 tools covering slides, shapes, text, formatting, charts, tables, animations, and more.

Provides tools for editing an already-open PowerPoint presentation in real time, including slide, shape, text, formatting, note, comment, and export operations, without launching a separate PowerPoint instance.

Enables AI agents to interact with PowerPoint presentations through natural language commands, supporting reading, editing, slide management, and automated speaker notes processing.

Enables PowerPoint automation on Windows, including template-based creation, real-time editing, LaTeX equations, animations, and multimodal slide analysis, all via natural language.

Enables AI assistants to programmatically create, manipulate, and analyze Microsoft PowerPoint presentations with advanced formatting and template management.

A server that enables creating and editing PowerPoint presentations programmatically through the Model Context Protocol, supporting features like adding slides, images, textboxes, charts, and tables.

Automate PowerPoint with AI through live COM automation, enabling AI assistants to build and edit real .pptx presentations via natural language.

MCP server that posts to LinkedIn through the LinkedIn API. Enables creating text posts on your LinkedIn profile using natural language from any MCP-compatible client.

Enables MCP-capable agents to read and update a LinkedIn profile, check and publish posts through the official LinkedIn API. Includes a built-in quality gate that blocks drafts reading as machine-generated before anything reaches the public feed.

Enables signed-in users to create, edit, and delete their own LinkedIn posts, including text, images, video, documents, or article links, and to list locally tracked posts and check the authenticated account.

An MCP server that enables users to interact with LinkedIn feeds and search for job listings through natural language. It provides tools for retrieving recent feed posts and searching for professional opportunities based on specific keywords and locations.

Enables agents to publish posts to your own LinkedIn feed, with a linter that blocks machine-written tells like em-dashes.

Enables publishing to LinkedIn from a Second Brain using four tools and the official API, with a handbrake that requires confirmation before posting and supports deleting posts.

MCP server for safe LinkedIn automation: official-API posting, comments, and likes plus guest-endpoint job search and a local application tracker.

MCP server for LinkedIn publishing from AI coding assistants. Dry run by default, SKILL.md for safe workflows, 28 unit tests. MIT licensed.

An MCP server for LinkedIn automation that enables users to search for jobs, retrieve profile details, manage connections, and read or send messages. It leverages Playwright and Browserbase to interact with LinkedIn through an existing authenticated browser session.

Dynamic tools to automate tasks on LinkedIn website.

Enables an AI agent to drive a real LinkedIn account through a persistent browser session, covering full profile editing, people and content interactions (searching, connecting, messaging, posting, reacting), and job search with step-by-step Easy Apply submissions. It reads data through LinkedIn's internal Voyager API while writing through the actual UI, with a saved answer bank so repeated application questions are resolved automatically.

A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.

An MCP server that posts PDF/carousel content to a personal LinkedIn profile via LinkedIn's official REST API. It handles OAuth and provides tools to upload documents and publish posts.

Enables AI assistants to create, open, and manipulate PowerPoint presentations through MCP, with HTTP file upload and download for use in Docker environments.

Enables users to search for jobs, retrieve profiles, and fetch feed posts through the LinkedIn API. It also provides tools for analyzing and extracting data from PDF resumes.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

Enables AI assistants to create, inspect, and edit PowerPoint presentations programmatically using tools for slides, text, shapes, images, tables, and search-and-replace operations.

A Model Context Protocol server that enables AI models to create and manipulate PowerPoint presentations with advanced features like financial charts, formatting, and template management.

Connects Claude Desktop to LinkedIn's data layer for AI-powered networking, enabling profile research, content creation and scheduling, engagement automation, analytics tracking, and messaging through natural language.

Enables conversational, deterministic inspection, editing, rendering, and validation of PowerPoint (.pptx) presentations, allowing agentic creation and modification of slides with style preservation and visual verification.