"A server for finding LinkedIn sales prospects" matching MCP servers:

Enables an agent to run 14 packaged sales workflows over your own connected apps — calendar, email, Slack, Notion, Stripe, Slack and more — turning meetings, calls and inbound requests into pre-call briefs, follow-up emails, enriched lead sheets, CRM records and payment links. Reads run freely, while anything that creates, sends, changes or deletes is shown for confirmation first.

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.

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.

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.

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.

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.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

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.

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.

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.

A server that allows AI tools like Claude and Cursor to automate and control Photoshop through natural language commands, enabling tasks like editing PSDs, toggling layers, and generating marketing creatives.

Enables automated LinkedIn lead generation and outreach through profile search, AI-powered lead scoring, personalized message generation, and automated follow-up sequences. Includes API key management with tier-based usage limits and PostgreSQL-backed tracking.

Connects MCP-compatible AI assistants to Azgaar's Fantasy Map Generator so they can view, inspect, edit, and export fantasy maps in a live local browser, including borders, states, terrain, layers, and files. It runs locally and offline after installation, supports collaborative manual editing, undo, autosave, and text-only map output for models that cannot see images.