linkedin-mcp-server
LinkedIn MCP server enabling AI access to LinkedIn data.
- Type
- MCP
- Transport
- stdio
- Open source
- Yes
- GitHub Stars
- ★ 2.5k
- Source
- mcp-github
Overview
An open-source MCP server that allows Claude and other MCP-compatible AI agents to access profiles, companies, jobs, and messages on LinkedIn. Runs using your own browser session, enabling AI to read LinkedIn data. Ideal for AI applications requiring information from LinkedIn.
Capabilities
- ▪Fetch profile
- ▪Fetch my profile
- ▪Fetch connection requests
- ▪Fetch sidebar recommended profiles
- ▪Fetch inbox
- ▪Fetch conversations
Use cases
Setup
pip install mcp-server-linkedin
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
How to install?
Install via pip: pip install mcp-server-linkedin
Is it free?
Yes, it is a free and open-source project.
What features are supported?
Supports fetching profiles, company information, job searches, and more.
Related skills
Scrapling
An adaptive web scraping framework capable of handling everything from single requests to large-scale scraping.
TrendRadar
An AI-driven tool for sentiment monitoring and trend analysis, supporting multi-platform aggregation, RSS subscription, and intelligent notifications.
gpt-researcher
An autonomous agent for deep research using any LLM provider.
Deep-Research-skills
Provides structured deep research capabilities for Claude Code, OpenCode, and Codex, supporting a two-phase research process.
user-research-skill
Provides end-to-end user research capabilities for AI agents, including interviews, synthetic users, and quantitative surveys.
google-maps-scraper
Scrape business data from Google Maps, such as name, address, phone number, etc.