"A guide for finding LinkedIn profiles by name" matching MCP servers:

Enables LinkedIn API integration for managing profiles, posts, feed, connections, and sending messages through MCP-compatible clients.

Enables sending LinkedIn messages and invitations, reading conversations, and managing outreach through natural language by automating a real LinkedIn session via a Chrome extension.

Enables AI agents to access LinkedIn through the user's own browser session, so they can read profiles and company pages, search for jobs and people, and manage messages, conversations, and connection requests. Supports checking session status, reading the home feed and posts, and inspecting Easy Apply forms without submitting them.

Enables AI agents to publish text and link posts, comment, react, and delete posts on LinkedIn through the official OAuth API, with every write gated behind human approval via a two-phase prepare/execute flow. Includes exact-match digests, single-use expiring proposals, daily write caps, and private local token storage with zero third-party dependencies.

Lets MCP clients sign a member in through LinkedIn's three-legged OAuth flow, read that member's OpenID profile, and publish text posts on their behalf, with stored sessions kept in a local mode-0600 file. It uses only public member APIs, so messaging, invitations, media uploads, and other people's data stay out of scope.

Released 3.0.0: 22 MCP tools, guided offline setup, local stdio, Chrome and manual login. No hosted deployment or job-research brief. Writes need opt-in, reviewed preview and human approval. Unofficial; provider compatibility, first-use cohorts, coordinated erasure and Windows privacy proof remain unverified. No mandatory paid service.

Enables AI assistants to read LinkedIn profiles, company pages, jobs, messages, and feed through a user's logged-in browser session.

Enables AI assistants to read a member's own LinkedIn data — profile, connections, messages, posts, and other snapshot domains — through LinkedIn's Member Data Portability API. Access is strictly read-only, with search, pagination, and recent-activity changelog support.

An unofficial Model Context Protocol server enabling AI assistants to access LinkedIn profile data, network connections, search people and jobs, and send messages via OAuth 2.1.

Self-hosted, ban-safe MCP server for LinkedIn that provides 22 tools for profiles, search, jobs, posts, connections, and messages. Integrates with any MCP-compatible client like Claude Desktop.

Enables Claude to interact with LinkedIn for posting, commenting, sharing media, and viewing feed and profile.

Enables AI agents to manage LinkedIn profiles, posts, connections, skills, education, and certifications through the LinkedIn API.

Enables AI assistants to interact with LinkedIn data through the Model Context Protocol, allowing profile searches, job discovery, messaging, and network analytics.

Enables publishing explicitly approved text posts to LinkedIn and checking connection status via a stateless MCP connector.

An MCP server that lets you publish posts to your LinkedIn profile using the official LinkedIn API, with support for markdown formatting and OAuth authentication.

Enables AI assistants to securely search your LinkedIn network, contacts, and DMs to find warm leads, intro paths, and hidden opportunities.

MCP server for programmable LinkedIn automation via Playwright, offering 20 tools for profile management, messaging, feed interaction, and job searching through real browser automation.

MCP server for LinkedIn, enabling posting, liking, commenting, and profile retrieval via official OAuth 2.0. Features CLI, HTTP admin, and optional Telegram bot.

Enables AI agents to interact with LinkedIn for posting, commenting, liking, and managing connections via OAuth2 authentication.

MCP server for LinkedIn automation that enables AI agents to perform LinkedIn actions (search, inbox, feed, jobs, etc.) safely with human-like evasion and two-phase commit preview.

An MCP server that enables agent-driven LinkedIn outreach across multiple accounts, with a safety gate for human approval and LLM-powered personalization.

MCP server that lets AI agents operate a real LinkedIn account in plain English with safety controls and approval queues.

Enables running the entire LinkedIn sales motion inside Claude Code, including content creation, audience warming, outreach, and booking calls.

Enables interaction with LinkedIn tools and services through the Universal MCP framework, allowing operations like posting and profile management via natural language.

Enables AI agents to operate a user's signed-in LinkedIn account, including scheduling posts, replying to comments and messages, inviting leads, finding prospects, and summarizing unread messages without a LinkedIn API key or developer app.

Multi-user Model Context Protocol server that connects ChatGPT / Claude / Cursor to LinkedIn using only LinkedIn’s official Sign In with OpenID Connect API.

A ToS-compliant Model Context Protocol server for LinkedIn that uses the official API for OAuth 2.0 authentication, profile reading, and content posting.

A production-ready MCP server for LinkedIn that provides tools to search jobs and people, retrieve profiles, network stats, connections, and send messages via natural language.

A Model Context Protocol server that enables seamless interaction with LinkedIn for job applications, profile retrieval, feed browsing, and resume analysis through natural language commands.

The LinkedIn API and MCP server for AI agents: search, connect, message and enrich on accounts you own, with limits enforced on our server. 20,000+ LinkedIn accounts run on this stack, and under 1% of them have ever been restricted.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Enables AI assistants to interact with LinkedIn for search, messaging, connections, and Sales Navigator features via the Unipile API.

Enables Claude Desktop to manage your LinkedIn profile and company pages, including posting, reading posts, and fetching profile information.

Universal LinkedIn MCP server for profile editing, rich posting (media, polls), messaging threads, network growth, and analytics with stealth browser automation and strict account guardrails.

Enables automated LinkedIn growth by posting, commenting, and managing connections through Claude Code, with daily scheduled tasks for inbox replies and connection requests.

Lets an AI assistant operate LinkedIn through an authenticated browser session, enabling profile management, posting, networking, messaging, job search, and automated applications.

Connects AI assistants like Claude to LinkedIn through your own logged-in browser session, enabling profile and company lookups, messaging, inbox management, job searches, and related actions. All browser interactions run locally on your machine.

A headless local stdio server that gives an MCP-compatible assistant durable relationship memory for LinkedIn contacts — resumable ingestion into SQLite, source-backed labels, organizations, opportunities and follow-ups, plus revision-checked draft preparation held in an outbox. It enables evidence-based classification and reply drafting from your own approved LinkedIn API access without any automatic sending, browser automation, or telemetry.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

Provides LinkedIn automation via a real browser session using your own cookie, enabling profile, company, job, and post search and reading, plus sending messages and connection requests with rate limiting.