The managed LinkedIn MCP

A managed LinkedIn MCP
you run from your AI assistant

Use LinkedIn from Claude, ChatGPT or Gemini without running your own MCP server. Reach MCP handles the proxy, daily limits and session connection, so you can focus on the actions you want to run.

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Runs from your AI tools

🤖Claude
✨ChatGPT
🔷Gemini
🔮Make
Claude / ChatGPTplain-language prompt
Reach MCPmanaged MCP server
in
LinkedInyour own session
Managed proxyDaily limits handledNo password shared
Works in Claude, ChatGPT and Gemini
Proxy and daily limits handled
Multiple LinkedIn accounts, one assistant
Your own LinkedIn session, no password shared
Watch it work

From ICP to CRM in a few prompts

Ask your AI assistant. Reach MCP runs the LinkedIn outreach on your own session, paced within LinkedIn's daily limits, across every account you manage.

Claude — Reach MCP
You →Use a Sales Navigator source matched to my ICP: Heads of Sales at B2B SaaS companies, 50 to 200 employees, France and UK. Then pull the qualified list.
Reach MCP →

✓Sales Navigator source matched to your ICP (role, industry, headcount, geo)

✓412 profiles pulled from the source

✓Exported the prospect list as CSV (name, title, company, profile URL)

→ 412 qualified prospects ready. Want me to start outreach?

You →Yes. Send a connection request, then a personalized follow-up to anyone who hasn't replied after 7 days. Run it across all 3 of my client accounts, one per seat.
Reach MCP →

✓Campaign queued on 3 accounts (A, B, C), isolated per seat

✓Connection requests pacing automatically within LinkedIn's daily limits

✓Day 1: 57 requests sent across the 3 accounts, each personalized from profile data

→ Running. I'll draft the 7-day follow-up for anyone who hasn't replied.

You →Check replies this morning and tell me who's interested.
Reach MCP →

✓Read and triaged new replies across all 3 accounts

✓23 replies: 9 interested, 6 "not now", 8 questions

✓Personalized follow-up sent to the 41 connections past the 7-day mark

→ 9 warm prospects flagged. Ready to hand off?

You →Push the 9 interested prospects to my CRM.
Reach MCP →

✓Compiled the 9 interested prospects with reply context and source account

✓Handed off to your CRM via the REST API and signed webhooks, or exported to CSV

→ Done. 9 qualified prospects passed to your CRM handoff workflow, ready for CRM import. Connection requests keep pacing within daily limits across all 3 accounts.

Example workflow, not a performance guarantee.

Sales Navigator sourceCSV exportPaced within daily limitsCRM handoff via API and webhooks

Start with one account. Scale across clients.

Start with one LinkedIn account at $20/month. Add more accounts when you need them: $7 each up to ten, then $5.

Start here
$20 /account/mo
1st account
First clients
$7 /account/mo
Accounts 2–10
Agency volume
$5 /account/mo
Accounts 11+

Every seat includes MCP, API, proxy and daily-limit handling. Free to start, no card. Cancel anytime, no commitment.

Start free, no card
Managed, not a DIY repo

Why teams pick the managed MCP

Managed, not self-hosted

A hosted LinkedIn MCP with proxy and daily-limit handling built in. No repo to clone, no server to maintain, no proxy setup to manage.

Connect once, then work from your assistant

Connect Reach MCP once, then run LinkedIn actions from Claude, ChatGPT or Gemini in plain language. The MCP server and REST API handle the execution behind the scenes.

Multi-account, per seat

Run many LinkedIn accounts from one assistant, with per-role access and per-account isolation. One seat is one account, every feature included, and it gets cheaper as you add seats.

More control, no false promise

Reach MCP uses a rotating proxy, handles LinkedIn daily limits and keeps a human-like pace. That reduces risk, but it does not remove it. LinkedIn automation always carries account risk, especially with new or fake accounts.

DIY / free GitHub OSS

  • Self-host the OSS server
  • Wire your own proxy
  • Handle daily limits yourself
  • Code to babysit, single account

Reach MCP, managed

  • Hosted MCP server, nothing to deploy
  • Managed proxy built in
  • Automatic daily-limit handling
  • Multi-account, per seat, with support

Why it holds up

Managed where DIY is fragile

The free GitHub MCP servers leave you to self-host, wire a proxy and handle daily limits; here that is done for you.

Per-seat pricing, all included

Starts at $20 / month for one account, $7 each up to ten, then $5 per account; messaging, exports, connections, posting, API + MCP server, proxy, dashboard and support are all in the seat.

Your session, revocable

A Chrome extension uses your existing LinkedIn session, no password is shared, and uninstalling the extension revokes access.

FAQ

Questions, answered

·Why pay instead of a free GitHub LinkedIn MCP server?

The free OSS servers are DIY: you self-host, add a proxy and handle daily limits yourself. This one is managed (proxy + daily limits handled), no-code, multi-account with roles, plus dashboard and support.

·Is my LinkedIn account safe?

Safer, not risk-free. A rotating proxy, automatic daily-limit handling and human-like pacing reduce exposure. LinkedIn automation always carries real account risk, so we will not promise zero risk: new or fake accounts are the most exposed.

·Which AI assistants work?

Claude, ChatGPT and Gemini, plus Cursor, Make or your own agent, via the MCP server and a documented REST API.

·What does it cost to try?

Seven days free, no credit card. After that it is $20 / month for one LinkedIn account, billed monthly, no commitment — $7 for each account up to ten, then $5 at agency volume.

Run LinkedIn from your AI assistant

Free to start, no card. Agencies and 5+ seats: book a demo.

Start free, no cardBook a demo