"A way to find people on LinkedIn using their names" matching MCP servers:

LinkedIn MCP Assistant

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.

MCP server for managing LinkedIn content workflows. It generates images via OpenAI, stores assets in Cloudinary, and queues drafts through Buffer with mandatory human approval.

Enables posting text and media content directly to LinkedIn from Claude Desktop with support for authentication and visibility controls.

Automates posting articles to Dev.to and sharing posts on LinkedIn via command-line, cron jobs, or Copilot sessions.

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

Enables AI agents to manage LinkedIn content through Taplio, including drafting, scheduling, publishing posts, and analytics.

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

Enables creation of optimized LinkedIn posts using a component-based design system with variants, themes, and composition patterns. Supports multiple post types (text, document, poll, video, carousel) with research-backed optimization for maximum engagement.

AI-powered content generation for LinkedIn outreach, helping sales teams and recruiters craft personalized connection requests, InMails, posts, comments, and multi-touch outreach sequences. It's a content assistant that generates text for human review and manual sending, fully compliant with LinkedIn's Terms of Service.

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 AI agents to draft, format, and manage LinkedIn posts through a review pipeline, with human approval via a web UI before publication.

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.

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.

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 searching and retrieving content, module information, and Twig template snippets from a-blog cms via its GET API.