stickerdaniel/linkedin-mcp-server
Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies, jobs, and messages.
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+92
STARS · LAST 30 DAYS
3
PER DAY
#334
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +21 | +92 | +270 |
| Per day | 3 | 3 | 3 |
| Forks gained | +3 | +13 | +32 |
linkedin-mcp-server gained 92 stars in the last 30 days, about 3 a day, and now has 3.7K. It is about 1 year old and has averaged roughly 3.7K stars a year. It ranks #334 among Python repositories and #2,254 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#2632
BEST RANK
Sep 30, 2026
FIRST APPEARANCE
Active
STATUS TODAY
linkedin-mcp-server has maintained a continuous presence across global trending indexes, peaking at #2632. Below is the 30-day activity profile:
💡 Overview
linkedin-mcp-server is an open-source project written in Python: Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies, jobs, and messages.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, anthropic, chatgpt. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install linkedin-mcp-server⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
linkedin-mcp-server coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with linkedin-mcp-server.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install linkedin-mcp-server using your package manager: `pip install linkedin-mcp-server`
Initialize your project workspace or configuration file for linkedin-mcp-server.
Import linkedin-mcp-server into your codebase or invoke it directly from your terminal.
Execute your test suite or run `linkedin-mcp-server --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
stickerdaniel/linkedin-mcp-server is currently ranked #2,254 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
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| #2,253 | fabric8io/kubernetes-client | Java | ★ 3.7K | Compare ↗ |
| #2,254 | stickerdaniel/linkedin-mcp-server This Project | Python | ★ 3.7K | |
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Frequently Asked Questions
What does linkedin-mcp-server do? +
Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies, jobs, and messages.
What language is linkedin-mcp-server written in? +
The primary language is Python. Topics include: ai-agents, anthropic, chatgpt, chatgpt-desktop, claude.
Is linkedin-mcp-server actively maintained? +
Yes, the last recorded push was on Sep 30, 2026 with 170 open issues being tracked.
How many stars does linkedin-mcp-server have? +
linkedin-mcp-server has 3,675 stars and 639 forks on GitHub.
How does linkedin-mcp-server rank among GitHub repositories? +
With 3,675 stars, stickerdaniel/linkedin-mcp-server is ranked #2,254 globally across all repositories tracked on GitHubRepo and #334 among Python projects.
What license is linkedin-mcp-server distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
