"A service for finding GitHub users on LinkedIn" matching MCP servers:

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.

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.

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.

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.

A minimal Model Context Protocol (MCP) service for integration with external platforms. Provides CRUD operations, reference data fetching, and authentication capabilities.

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 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.

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

Enables AI agents to recognize and extract text from images using PaddleOCR, supporting both file paths and base64 input with structured results including confidence scores and text positions.

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.

An MCP server that enables Claude and other compatible LLMs to interact with the GitHub API, supporting features like creating issues, retrieving repository information, listing issues, and searching repositories.

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.

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.

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.

Enables drafting, gate-checking, and publishing fact-verified LinkedIn posts in the owner's voice, with experiment-driven learning of styles, formats, and posting times plus read-only analytics and a local dashboard.

Enables AI agents to interact with GitHub through OAuth-authenticated operations including starting authorization flows, listing repositories, and creating issues using stored access tokens.

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.

Enables AI assistants to request information and clarification from humans via Slack, supporting multiple roles and transport modes.

Dynamic QR code platform for AI agents. Create, customize, and track QR codes without regenerating images. 37 tools covering 11 QR types (URL, vCard, WiFi, event…).

A Model Context Protocol service for comprehensive email management that supports multiple email providers, with complete functionality for viewing, organizing, and batch processing emails.

An MCP server that turns CI failures, pull requests, security alerts, and Slack threads into Linear issues, Slack posts, changelogs, docs, and reports with evidence attached, through 25 agent-run workflows over 59 tools spanning GitHub, Linear, Slack, Notion, Google Docs, Google Calendar, Google Sheets, Firecrawl, and Tavily. It also handles credential setup in the OS keychain and pauses for approval before any create, send, change, or delete call.

Enables controlling CLO3D from any MCP client to inspect projects, create and edit patterns, manage fabrics and colorways, run simulations, and export models through chat.

A Model Context Protocol server that enables AI models to interact with GitHub's API, allowing for repository creation and management with descriptions, topics, and website URLs through natural language commands.