remote-mcp-linkedin
Enables read-only extraction of LinkedIn profile data via MCP tools, using a local browser bridge for secure, authenticated access without exposing browser credentials.
README
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
MCP tools
linkedin_profile_get- returns normalized visible profile datalinkedin_profile_posts- returns visible posts from a profile activity pagelinkedin_contact_network_search- returns visible people-search/contact resultslinkedin_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
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