"Finding People on LinkedIn" matching MCP servers:

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.

Dynamic tools to automate tasks on LinkedIn website.

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 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 AI agents to create, schedule, and publish social media posts across Instagram, X/Twitter, LinkedIn, Threads, Facebook, and other platforms via the PosteAhora API.

Enables creating and managing Spotify playlists using natural language with advanced similarity matching across 8 different algorithms. Supports finding similar tracks based on audio features, mood, energy, genre, and custom weighted parameters to build personalized playlists automatically.

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

Goal and process maps for humans and AI agents on your own server: agents create and update nodes, manage tasks and automation rules and read the org structure, while people watch the same map live. Connects to your self-hosted killBottleneck instance.

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

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 AI models to interact with messages from various messaging platforms (Mobile, Mail, WhatsApp, LinkedIn, Slack, Twitter, Telegram, Instagram, Messenger) through a standardized interface.

Enables price comparison across 7 major Taiwanese e-commerce platforms (momo, PChome, Coupang, ETMall, Rakuten, Yahoo Shopping, Yahoo Auction) with advanced filtering for finding the lowest prices on products.

Enables AI agents to manage professional networking on LinkedIn by providing tools for posting updates, searching for jobs, and analyzing profiles. It facilitates secure interaction with the LinkedIn platform through OAuth 2.0 authentication and the Model Context Protocol.

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.

MCP server for AI agents to manage ad campaigns across Google, Meta, LinkedIn, Microsoft, Reddit, TikTok, and more

Allows scheduling meetings in Microsoft Outlook using Microsoft Graph API, with features for creating calendar events and adding attendees by finding their email addresses.

An MCP server that enables automating Capture One Pro on macOS, providing tools for reading and editing images, managing layers/masks, recipes, and processing with risk-tiered write gating.

Meet.bot is AI-native scheduling for people and agents. Check real calendar availability and book meetings on Google and Microsoft calendars through scheduling pages — and pay per meeting booked, not per user or seat. Actions: Book Meeting, Find Slots, Get Scheduling Page Info.

Provides integration between Hunter API and LLM providers supporting the MCP protocol, allowing natural language interaction with Hunter B2B data for finding and managing company and people information.

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.