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mcp-server-linkedin

PyPI·Infrastructure

mcp-server-linkedin is an open-source MCP server that enables AI assistants, such as Claude, to access LinkedIn profiles, company information, and job postings through the user's browser session. It is designed for developers building AI agents that require LinkedIn data integration.

Open SourceApache-2.0CLIAPISelf-hosted
Visit PyPI↗
2.6kstars
456forks
6features
2025since

Overview

6 features

In the Autonomous agents & workflows space, mcp-server-linkedin takes a focused approach. It focuses on allowing AI assistants to securely access and process LinkedIn data through user browser sessions. mcp-server-linkedin is an open-source project aimed at AI developers and agent framework builders. mcp-server-linkedin is open source under the Apache-2.0 license. It ships for the command line and API, and it can be self-hosted.

It is developed by stickerdaniel, and it first shipped in 2025. Development happens publicly on GitHub with 2.6k stars and 277 commits in the last 90 days. Key capabilities include linkedIn integration, profile access, and company data. It exposes integrations via an MCP server and a public API.

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

  • ✓LinkedIn integration
  • ✓Profile access
  • ✓Company data
  • ✓Job postings
  • ✓MCP protocol
  • ✓Browser session bridge
Tags
mcp-serverlinkedin-integrationai-agentprofile-accessjob-data
AI capabilities
Structured
Inference: LocalWeights: Open

Built with & integrations

AI providers
anthropic
Connectors
MCPAPI
Runs on
CLIAPI-onlySelf-hosted

Trust & compliance

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

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed30 Jun · 06:25 UTC
    mcp-server-linkedin verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about mcp-server-linkedin

What is mcp-server-linkedin?
Mcp-server-linkedin focuses on allowing AI assistants to securely access and process LinkedIn data through user browser sessions. It is catalogued under Autonomous agents & workflows on PulseGate.
Who should use mcp-server-linkedin?
mcp-server-linkedin is an open-source project built for AI developers and agent framework builders.
Is mcp-server-linkedin free?
Yes — mcp-server-linkedin is open source under the Apache-2.0 license and free to use.
What platforms does mcp-server-linkedin run on?
mcp-server-linkedin runs on the command line and API. It can also be self-hosted.
Is mcp-server-linkedin still active?
The GitHub repository shows 277 commits in the last 90 days.
What projects are similar to mcp-server-linkedin?
Similar projects tracked by PulseGate include artigence-linkedin-mcp, linkedin-mcp-local, and rezvan-linkedin-mcp.artigence-linkedin-mcplinkedin-mcp-localrezvan-linkedin-mcp
Who develops mcp-server-linkedin?
mcp-server-linkedin is developed by stickerdaniel.
How long has mcp-server-linkedin been around?
mcp-server-linkedin first shipped in 2025.

At a glance

Platforms
Cli
Languages
English
License
Apache-2.0
Built for
AI developers and agent framework builders
Model
Open source
Solves
Allowing AI assistants to securely access and process LinkedIn data through user browser sessions.

Registered as

PyPI
mcp-server-linkedin

Developer

stickerdaniel
Team

Open source

Stars
2,566
Forks
456
Open issues
76
Last commit
29 Jun 2026
Commits 90d
277
Contributors
20
Authorship
Team
Default branch
main
Latest release
v4.17.0 · 28 Jun 2026

Index record

Identity confidence
Low · 64
Indexed
30 Jun 2026
Lifecycle
Alive
Last seen
30 Jun 2026
Identity audit (12)
Slug
mcp-server-linkedin-pypi-org
Lifecycle last checked
8 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
30 Jun 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
Recorded source: taxonomy-pass-a.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Canonical URL
https://pypi.org/project/mcp-server-linkedin

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