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artigence-linkedin-mcp

PyPI·Infrastructure

artigence-linkedin-mcp is a Model Context Protocol (MCP) server that enables AI assistants like Claude to access LinkedIn profiles, companies, and job postings using the user's own browser session. It is distributed as a Python package and is open source under Apache-2.0.

Open SourceApache-2.0CLI
Visit PyPI↗
1alternative
3features
2025since

Overview

3 features

artigence-linkedin-mcp sits in PulseGate's Developer Tools category. It focuses on providing AI assistants with secure, user-authenticated access to LinkedIn profiles and job data. artigence-linkedin-mcp is an open-source project aimed at developers. artigence-linkedin-mcp is open source under the Apache-2.0 license. It runs on the command line.

Behind artigence-linkedin-mcp is Artigence Healthcare Systems, and it first shipped in 2025. Development happens publicly on GitHub with 203 commits in the last 90 days. Key capabilities include LinkedIn Access, Browser Session Integration, and AI Assistant Support. It exposes integrations via an MCP server.

Summary written by a language model from the project’s public pages.

  • ✓LinkedIn Access
  • ✓Browser Session Integration
  • ✓AI Assistant Support
Tags
mcp-serverlinkedin-integrationai-tooling
AI capabilities
Text

Built with & integrations

AI providers
anthropic
Connectors
MCP
Runs on
CLI

Trust & compliance

License
Apache-2.0
Verified signals
✓HTTPS✓Open Source✓Free tier✓GitHub✓Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed3 Aug · 19:10 UTC
    artigence-linkedin-mcp verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about artigence-linkedin-mcp

What does artigence-linkedin-mcp do?
Artigence-linkedin-mcp focuses on providing AI assistants with secure, user-authenticated access to LinkedIn profiles and job data. It is catalogued under Developer Tools on PulseGate.
Who should use artigence-linkedin-mcp?
artigence-linkedin-mcp is an open-source project built for developers.
Does artigence-linkedin-mcp have a free plan?
Yes — artigence-linkedin-mcp is open source under the Apache-2.0 license and free to use.
What platforms does artigence-linkedin-mcp run on?
artigence-linkedin-mcp runs on the command line.
Is artigence-linkedin-mcp still maintained?
The GitHub repository shows 203 commits in the last 90 days.
What are alternatives to artigence-linkedin-mcp?
Similar projects tracked by PulseGate include mcp-server-linkedin, linkedin-mcp-local, and rezvan-linkedin-mcp.mcp-server-linkedinlinkedin-mcp-localrezvan-linkedin-mcp
Who develops artigence-linkedin-mcp?
artigence-linkedin-mcp is developed by Artigence Healthcare Systems.
When did artigence-linkedin-mcp launch?
artigence-linkedin-mcp first shipped in 2025.

At a glance

Platforms
Cli
Languages
English
Open source
Yes (GitHub)
License
Apache-2.0
Built for
developers
Model
Open source
Solves
Providing AI assistants with secure, user-authenticated access to LinkedIn profiles and job data.

Registered as

GitHub
ArtigenceHealthcareSystems/linkedin-mcp-server
PyPI
artigence-linkedin-mcp

Developer

Artigence Healthcare Systems
Community-driven
↗ GitHub

Open source

View on GitHub →
Stars
0
Forks
0
Open issues
0
Last commit
3 Aug 2026
Commits 90d
203
Contributors
26
Authorship
Community-driven
Default branch
main

Live coverage

Identity confidence
Low · 64
Indexed
3 Aug 2026
Lifecycle
Alive
Last seen
3 Aug 2026
Identity audit (13)
Slug
artigence-linkedin-mcp-pypi-org
Lifecycle state recorded
3 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
3 Aug 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Written by a language model from the project's public pages.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
3 Aug 2026
Canonical URL
https://pypi.org/project/artigence-linkedin-mcp

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