Skip to main content
Glama
alexanderskorokhodov

remote-mcp-linkedin

remote-mcp-linkedin

Read-only MCP server for collecting visible LinkedIn profile, post, and contact-network data and turning profile data into structured dossiers. It uses a local browser bridge, so the browser session stays on the user's machine.

What it does

  • Opens visible LinkedIn profile pages through a local browser bridge

  • Extracts basic public / visible profile data

  • Collects visible profile posts from /recent-activity/all/

  • Searches visible people/contact-network results, defaulting to 1st-degree contacts

  • Builds a structured dossier for AI agents

  • Exposes the result through MCP tools

Related MCP server: LinkedIn MCP

MCP tools

  • linkedin_profile_get - returns normalized visible profile data

  • linkedin_profile_posts - returns visible posts from a profile activity page

  • linkedin_contact_network_search - returns visible people-search/contact results

  • linkedin_profile_dossier - returns a structured profile dossier with evidence, gaps, warnings, and confidence

Safety

  • Read-only by design

  • No messages, likes, comments, connection requests, or job actions

  • No cookies or browser session data are exported

  • The browser runs locally

Quickstart

python3 -m venv .venv
source .venv/bin/activate
python -m pip install -e ".[dev]"
export REMOTE_MCP_LINKEDIN_BRIDGE_TOKEN="replace-with-a-long-random-token"
remote-mcp-linkedin-server
remote-mcp-linkedin-bridge

Status

Small prototype.

Working:

  • MCP server

  • local bridge

  • profile data tool

  • profile posts tool

  • contact network search tool

  • dossier tool

  • JSON result storage

Not ready:

  • robust LinkedIn parser

  • production extraction

  • advanced profile analysis

License

MIT

Install Server
A
license - permissive license
B
quality
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/alexanderskorokhodov/remote-mcp-linkedin'

If you have feedback or need assistance with the MCP directory API, please join our Discord server