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  3. Lhremote
Lhremote logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 6:47:34 PM

Lhremote

User RatingsBe the first to rate and review this MCP server!
View Repository13 GitHub StarsTotal stargazers on GitHub for the source repository (13 stars).Visit Website
linkedinbrowser-automationcampaignsmessagingmcp

Controls LinkedHelper through MCP and CLI for LinkedIn accounts, campaigns, messaging, profiles, and engagement workflows.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "alexey-pelykh-lhremote": {
      "command": "npx",
      "args": [
        "-y",
        "lhremote"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (69) Directory Badge Claim listing Alternatives๐ŸŽฏ More in Marketing

Overview

alexey-pelykh/lhremote MCP server connects AI assistants and command-line workflows to LinkedHelper through the Model Context Protocol. It detects or launches LinkedHelper with Chrome DevTools Protocol access, manages accounts and instances, and operates campaigns and their action chains. The tooling also covers LinkedIn profile queries, messaging, engagement, search-related operations, and profile enrichment described in the project documentation. Reach for it when LinkedHelper is installed locally and you need agent-driven LinkedIn automation rather than direct API access.

Use cases

โ€ขLaunch LinkedHelper and start a LinkedIn account instance
โ€ขCreate and monitor campaign execution
โ€ขImport LinkedIn profile URLs into campaign targets
โ€ขQuery cached profiles and messaging history
โ€ขManage campaign action chains and exclusions

Key features

โ€ขLinkedHelper app and instance management
โ€ขCampaign lifecycle and action-chain control
โ€ขLinkedIn profile URL importing
โ€ขCampaign targeting and exclusion management
โ€ขProfile and messaging queries
โ€ขCLI and MCP interfaces

Capabilities & Tool Schemas (69) ~1.8k tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Lhremote.

find-app

Detect running LinkedHelper application instances and their CDP connection details.

launch-app

Launch the LinkedHelper application with remote debugging enabled.

quit-app

Quit the LinkedHelper application.

list-accounts

List available LinkedHelper accounts. Returns account ID, LinkedIn ID, name, and email for each account.

start-instance

Start a LinkedHelper instance for a LinkedIn account.

stop-instance

Stop a running LinkedHelper instance.

How Lhremote works

What alexey-pelykh/lhremote MCP server does

alexey-pelykh/lhremote MCP server exposes LinkedHelper automation through both MCP tools and a command-line interface. It can find a running LinkedHelper application, launch or quit it, list available LinkedIn accounts, start or stop account instances, and report connection or database status.

Campaign workflows include creating campaigns from YAML or JSON, reading and exporting configurations, changing metadata, archiving or permanently erasing campaigns, and starting or stopping execution. Agents can inspect campaign status and statistics, retry selected people, manage action chains, move people between actions, and maintain campaign or action exclusion lists. LinkedIn profile URLs can be imported into campaign target lists, and assigned people can be listed or removed.

The README also documents capabilities beyond the supplied campaign tool list, including cached profile queries, messaging history and reply checks, LinkedIn actions such as profile visits and engagement, feed and post queries, profile enrichment, search-related helpers, action discovery, and throttle or budget monitoring.

How it works

alexey-pelykh/lhremote MCP server communicates with the local LinkedHelper desktop application using Chrome DevTools Protocol connection details. The workflow starts by finding an existing application or launching one with remote debugging enabled. After an account is selected, an instance can be started before campaign or LinkedIn actions are used.

The MCP entry point runs as the mcp subcommand. The CLI exposes corresponding commands for the documented MCP operations, with JSON output options on many commands. Campaign creation accepts a file or inline YAML/JSON configuration. Starting a campaign is asynchronous, so status and statistics commands are used to monitor execution.

Setup and configuration

The project requires Node.js 24 or newer and the LinkedHelper desktop application. LinkedHelper requires a paid subscription. Install the npm package globally or run it through npx; for Claude Desktop, configure a local command using npx, the lhremote package, and the mcp subcommand.

A typical operating sequence is to detect or launch LinkedHelper, list accounts, start an account instance, inspect available action types, create a campaign, import profile URLs, start the campaign, and monitor its status. Campaign and targeting commands accept IDs, URLs, files, or inline values depending on the operation.

Tools and capabilities

  • Manage the LinkedHelper application and account instances.
  • Create, inspect, export, update, archive, or erase campaigns.
  • Configure, reorder, remove, and advance campaign actions.
  • Import, exclude, list, retry, and remove campaign people.
  • Query cached LinkedIn profiles and messaging data.
  • Perform documented LinkedIn engagement, enrichment, feed, post, and search operations.
  • Inspect available action types and campaign execution results.

Limitations and notes

alexey-pelykh/lhremote MCP server depends on a locally installed LinkedHelper application rather than operating as a standalone LinkedIn client. Its documented prerequisites include a paid LinkedHelper subscription. LinkedIn monitors automated activity, so the project points users to its rate-limiting guidance. Permanently erasing a campaign removes its related database data and cannot be undone; campaign deletion is described as an archival operation instead.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
13
Stargazers on the source repository.
npm downloads
201
Package downloads in the last 30 days.
Last commit
1mo ago
Most recent push to the default branch.
Tools exposed
69
Callable tools this server registers over MCP.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Lhremote

Install Node.js 24 or newer, then run it with `npx -y lhremote mcp` or install the `lhremote` npm package globally.

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Technical Specs & Signals

Category๐ŸŽฏMarketing
PricingPaid
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
AuthNo auth required
ClientsClaude Desktop
Last updatedSep 7, 2026
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars13
GitHub Star CountTotal stargazers on GitHub representing community popularity (13 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 31, 2026
npm downloads201/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
60Quality signal: Good ยท 60/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools28/30
Adoption & activity7/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 7d ago via OSV.dev ยท lhremote (npm)

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