Linkedin-Mcp-Server

Visit Tool

linkedin-mcp-server is an Open Source AI Agents & Automation tool that allows AI assistants like Claude to access LinkedIn. It enables scraping LinkedIn profiles, companies, and jobs, facilitating job searches and providing access to LinkedIn data for AI applications.

Claim this tool

1View

At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is linkedin-mcp-server?

linkedin-mcp-server provides an open-source solution for connecting AI assistants, such as Claude, to LinkedIn. This tool allows AI agents to access various LinkedIn functionalities, including retrieving profile information with specific section selections (experience, education, skills, etc.), managing connection requests, listing and searching messaging inbox conversations, and sending messages. It also supports extracting company profiles and posts, searching for jobs with filters, and getting detailed job posting information. The server operates by controlling a real browser session, ensuring compliance with LinkedIn's terms of service by not exploiting undocumented APIs. Users can install it via uvx, as a Claude Desktop MCP Bundle, or through Docker, with options for both stdio and streamable HTTP transport modes.

Best used for

Ideal for developers and data scientists who need to programmatically access LinkedIn data, automate job searches, and integrate LinkedIn functionalities into AI assistants. Especially valuable for building custom AI-powered recruitment tools or market intelligence applications.

Common actions

access LinkedIn data

automate LinkedIn tasks

integrate AI with LinkedIn

scrape LinkedIn profiles

search LinkedIn jobs

deepfakeworkflowscollaborationlow-code/no-codeautomated workflowopen-source"AI Agents"github copilotface swapping

Capabilities

Key features

Access LinkedIn profiles
Search for jobs
Get company details
Manage LinkedIn messages
Send connection requests
Control browser session
Integrate with Claude

Target Audience

developerdata scientistrecruiterjob seeker

Integrations

claude

Pricing & Plans

Open Source

Free

FAQs

Is using linkedin-mcp-server safe and compliant with LinkedIn's terms?

The tool controls a real browser session and does not exploit undocumented APIs or bypass authentication. While LinkedIn's TOS prohibit automated tools, normal usage (not bulk scraping) has not resulted in bans for users. However, LinkedIn may issue warnings for excessive automation.

How does linkedin-mcp-server handle authentication and browser sessions?

On the first tool call requiring authentication, it opens a LinkedIn login browser window. It saves persistent browser profiles and cookies locally. For Docker setups, a profile must be created locally first and then mounted into the container, as Docker runs headless.

What are the different installation methods for linkedin-mcp-server?

You can install linkedin-mcp-server using `uvx` (recommended for universal setup), as a Claude Desktop MCP Bundle for one-click installation, or via Docker. Each method has specific prerequisites and configuration steps outlined in the documentation.

Can I run multiple LinkedIn sessions concurrently with this tool?

No, it's recommended to have only one active LinkedIn session at a time to avoid issues. The tool serializes tool calls within a single server process to protect the shared LinkedIn browser session, queuing concurrent client requests.

What should I do if I encounter login or timeout issues?

For login issues, LinkedIn may require mobile app confirmation or manual captcha solving via the `--login` option. For timeouts, increase the `--timeout` value (e.g., to 10000ms or higher) or set the `TIMEOUT` environment variable, especially on slower connections.

Trending

Subcategories trending in AI Agents & Automation

AI Frameworks & Infra Chatbots & Conversational AI Workflow Agents Personal Assistants RAG & Document AI Voice Agents

Trending

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce