linkedin-mcp

MCP serverAI & models

Your AI can act on LinkedIn under governed rules once this integration is added. It is LeadShark's no-auth discovery entry point for Apex, so connecting requires no authentication setup. After that, your AI has governed ways to get things done on LinkedIn.

Use linkedin-mcp in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add linkedin-mcp and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the about apex tool from linkedin-mcp

Details

Available today. Use it from your connected AI after setup.

Add the integration to your AI, then connect it through Apex by LeadShark. No authentication step is needed to find and start using it.

linkedin-mcpStart free

What your AI can do with it

  • Take actions on LinkedIn on your behalf
  • Work on LinkedIn within governed rules and limits
  • Start using LinkedIn without an authentication setup
  • Operate through Apex by LeadShark

Install linkedin-mcp

The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user linkedin-mcp 'https://www.apex.new/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://www.apex.new/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=linkedin-mcp&config=eyJ1cmwiOiJodHRwczovL3d3dy5hcGV4Lm5ldy9tY3AifQ==

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://www.apex.new/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add linkedin-mcp --url 'https://www.apex.new/mcp'

    Run it once, then sign in with codex mcp login linkedin-mcp if the server asks for an account.

From the project's README

As published by rzere/linkedin-mcp in README.md.

Governed LinkedIn hands for AI agents. This is the public face of Apex by LeadShark — an MCP loadout that lets Claude, ChatGPT, or Cursor operate a real LinkedIn account in plain English: find buyers, rank intent, comment, connect, and message. Every action is paced, capped, approval-queued where needed, and fully logged.

This repo contains the discovery endpoint — a minimal, dependency-free MCP server, served live at:

  • https://www.apex.new/mcp (alias: https://www.apex.new/linkedin-mcp)

Mount it in any MCP host and it completes the handshake instantly — no account, no auth — then briefs your agent on what the full loadout is and how to get it.

The mission

Most LinkedIn tooling automates what you already decided: schedule this post, DM whoever comments. Apex is the layer above that — the intelligence that decides what to automate and where to show up. The activation path is intelligence-first, not automation-first. In five words:

Discover demand. Engage with context.

An agent running Apex works a loop: See → Decide → Act. Find the posts and people where attention already is, figure out who's worth engaging and with what angle, then engage — inside the account's safety budget.

The loadout — 40 tools, See → Decide → Act

The full authenticated server at https://apex.leadshark.io/mcp equips your agent with:

See / discover — where is the demand? (Apex, except discover_lead_magnets)

search · discover_lead_magnets · list_signals · feed · list_recent_posts · list_person_posts · list_post_engagers · get_person_activity

Find people and companies, pull a continuously refreshed radar of prospect-rich lead-magnet posts, list your heat-scored inbound signals, turn one viral post into a warm lead list, and see the rooms a prospect is already in (get_person_activity — who they comment on, what they react to). discover_lead_magnets is available on the Pro+ MCP floor (it doubles as content market-signal); the rest of this group is Apex.

Decide / context — who is worth your time?

enrich · enrich_company · get_lead_activity

Structured profiles for a person or account: role, company, activity, connections. The agent ranks ICP fit and intent and picks the angle — comment, connect, or ignore. Built on enrich, the most-used signal in the loadout.

Act — engagement

comment_on_post · react_to_post · send_connection_request · engage_with_comment · manage_invitations

Show up where the prospect's attention already is — warm them up in public before anything lands in their inbox. Triage inbound connection requests too.

Act — messaging

list_recent_messages · get_messages_with_person · send_message · send_email

Read the inbox, pull a full thread with one person, send the DM — deduped, paced, and logged. send_email sends through your own connected Resend account (BYO key).

Company Pages

list_companies (Pro+) · comment_as_company · react_as_company · manage_company_reply_automations

List and schedule to pages you administer on Pro+; acting in the page's voice — commenting, reacting, and running reply-only comment automations as the page — is Apex.

Pages & captured leads (Apex)

list_lead_pages · get_page_leads · list_lead_magnet_links

Read the leads your lead magnets captured — pages with capture stats, the deduped enriched email leads for a page, and your standalone leads.sh capture links — to feed the enrich → act loop.

Automations & scheduled posts (Pro+ baseline)

create_automation · list_automations · get_automation · edit_automation · suggest_automation_settings · schedule_post_with_automation · list_scheduled_posts · get_scheduled_post · edit_scheduled_post · cancel_scheduled_post

The execution layer: comment→DM lead-magnet automations and pre-automated post scheduling. Apex decides what to run; these run it.

Safety, limits & history

manage_activity_limits · set_daily_dm_limit · list_actions

Check budgets before acting, adjust caps, and read the audit trail — what the agent already did, what's staged for approval, why something was refused, and the current safety mode.

Full per-tool reference (parameters, access, tiers): apex.new/tools.md

The safety model (this is the point)

Every write the agent makes shares the same daily/weekly budgets as the account's automations (DMs, replies, connections), honors the do-not-engage list, and is paced and rate-limit-aware. Actions can be refused or queued for the user's approval — and the agent is told why. Limits are calibrated from LeadShark's production LinkedIn volume, not guesswork. Agents are expected to check list_actions before acting and to work within limits rather than around them.

What this repo's server does

This discovery stub speaks MCP over Streamable HTTP (JSON-RPC 2.0 over POST, JSON responses, stateless, no SSE) and exposes three no-auth informational tools:

ToolWhat it returns
about_apexWhat Apex is, tier pricing, trial paths, key links
get_setup_stepsThe 5-step connect flow (account → LinkedIn → 24h unlock → mount MCP → first play)
first_playsCopy-paste starter prompts: verify, discover, enrich, act

It has no LinkedIn powers of its own — it's the handshake and the briefing, not the hands.

Try it

Add https://www.apex.new/mcp as a custom connector / MCP server in your AI app, or run this repo locally:

node server.mjs          # Node 18+, zero dependencies, listens on PORT (default 3000)

Handshake by hand:

curl -s -X POST http://localhost:3000/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"curl","version":"0"}}}'

Get the full loadout

  1. Create a LeadShark account — free 7-day trial, no card.
  2. Connect the LinkedIn account the agent will operate.
  3. Unlock the one-time 24-hour Apex operator window (Settings → Apex Settings).
  4. Add https://apex.leadshark.io/mcp to your AI app and authorize with LeadShark.
  5. Ask: "Check if you can see LeadShark Apex and list the tools available."

Apex is $119/mo after the trial. LeadShark Pro ($39/mo) automates your lead magnet; Pro+ ($59/mo) scales automations and gated funnels; Apex is the operator loadout on top.

License

MIT

Tools it offers (3)

What this server listed when Ahel dialed its public endpoint in Sep 2026, with no key and no account of yours. The names are the server’s own.

  • about_apex
  • get_setup_steps
  • first_plays

Signals

GitHub stars
1
Last commit
Aug 2026
Advanced
Delivery
linkedin-mcp MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
io-github-rzere-linkedin-mcp
Source
github.com/rzere/linkedin-mcp
Hosted endpoint
https://www.apex.new/mcp