alexey-pelykh/lhremote
by Various
CLI and MCP server for LinkedHelper automation — let AI assistants control LinkedIn outreach
MCP
alexey-pelykh/lhremote
Added 1 June 2026
Overview
lhremote provides a command-line interface and Model Context Protocol (MCP) server for controlling LinkedHelper, a LinkedIn automation tool. It enables AI assistants to programmatically manage LinkedIn outreach tasks such as sending connection requests and messages. The tool is built in TypeScript and is open source.
Best for
Best for
Developers building AI agents that need to automate LinkedIn outreach
Use cases
- Automate LinkedIn outreach sequences via AI assistants
- Programmatically send connection requests and follow-up messages
- Integrate LinkedIn automation into MCP-compatible tools
How to use
Install
npm install -g lhremote Tested with
Claude Desktop, Cursor, Continue
Example client config
{\n "mcpServers": {\n "lhremote": {\n "command": "npx",\n "args": ["lhremote", "mcp"]\n }\n }\n} Notes
lhremote provides a command-line interface and Model Context Protocol (MCP) server for controlling LinkedHelper, a LinkedIn automation tool. It enables AI assistants to programmatically manage LinkedIn outreach tasks such as sending connection requests and messages. The tool is built in TypeScript and is open source.
7 stars on GitHub. Last updated 2026-05-29. Licensed AGPL-3.0.
Use cases
- Automate LinkedIn outreach sequences via AI assistants
- Programmatically send connection requests and follow-up messages
- Integrate LinkedIn automation into MCP-compatible tools
Pros
- Enables AI-driven control of LinkedIn automation
- Open source with minimal dependencies
- Uses standard MCP protocol for interoperability
Cons
- Very low community adoption (7 GitHub stars)
- Requires LinkedHelper to function
- Limited documentation and support
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Enables AI-driven control of LinkedIn automation
- Open source with minimal dependencies
- Uses standard MCP protocol for interoperability
Cons
- Very low community adoption (7 GitHub stars)
- Requires LinkedHelper to function
- Limited documentation and support
Pairs with
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