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Reach MCP

Paid
★ 46 • Updated Sep 13, 2026, 12:03 AM

Reach MCP is a hosted Model Context Protocol (MCP) server that connects a user's real LinkedIn account to AI assistants such as ChatGPT, Claude, Cursor, Gemini, and automation platforms like n8n and Make.

Use Cases ▼
01

Turn LinkedIn post reactions into personalized outreach messages

02

Draft follow-ups for LinkedIn conversations that went cold

03

Identify and contact recent LinkedIn profile viewers

04

Generate Sales Navigator prospect lists from a natural-language sentence

05

Reply to LinkedIn comments in context and in the commenter's language

06

Automate LinkedIn outreach through ChatGPT, Claude, Cursor, or n8n

07

Approve AI-drafted LinkedIn messages before sending

What Problem It Solves ▼

Reach MCP solves the problem of manually mining LinkedIn for leads and writing personalized outreach by giving AI assistants secure, rate-limited access to a user's real LinkedIn account. It automates tasks like identifying post reactors, profile viewers, cold conversations, and Sales Navigator searches, while requiring human approval before any message is sent.

Key Features ▼
✓

Connects a real LinkedIn account to multiple MCP-compatible AI clients

✓

Six ready-made playbooks reduce the need to write custom prompts

✓

Every message is previewed and requires user approval before sending

✓

Built-in proxy and rate-limit management help protect LinkedIn accounts

✓

No-code setup with a Chrome extension and a single connector URL

Overview

Reach MCP is a hosted Model Context Protocol (MCP) server that connects a user's real LinkedIn account to AI assistants such as ChatGPT, Claude, Cursor, Gemini, and automation platforms like n8n and Make. It provides a single connector URL and a Chrome extension that securely links to the user's LinkedIn session without sharing a password. Once connected, users can ask their AI to perform LinkedIn actions in plain language, and the system translates those requests into structured playbooks that read data and draft messages.

Full Description ▼

The platform ships with six ready-to-use playbooks: turning post reactions into leads, waking up cold conversations, converting profile viewers into prospects, building Sales Navigator prospect lists from a sentence, replying to comments, and more. Each playbook previews every message before it is sent, and the user must explicitly approve any action that writes to LinkedIn. This human-in-the-loop design is intended to keep users in control while still leveraging AI for research and drafting.

Reach MCP is built on the LinkedIn automation infrastructure behind Kanbox, which the company says has supported teams at companies like Doctolib, Qonto, Pennylane, and Spendesk. The service manages LinkedIn rate limits through a built-in proxy to help protect accounts. Reach MCP is a paid product at $39 per month, with a free 7-day trial, and has a 4.8/5 rating from 297 reviews on its website.

Pros & Cons

Pros

+

Connects a real LinkedIn account to multiple MCP-compatible AI clients

+

Six ready-made playbooks reduce the need to write custom prompts

+

Every message is previewed and requires user approval before sending

+

Built-in proxy and rate-limit management help protect LinkedIn accounts

+

No-code setup with a Chrome extension and a single connector URL

Cons

−

Paid subscription at $39 per month after a 7-day free trial

−

Requires installing a Chrome extension to connect LinkedIn

−

Some playbooks require LinkedIn Premium or Sales Navigator

−

Relies on third-party automation infrastructure, which may carry LinkedIn account risk

−

Limited to LinkedIn-focused use cases rather than general-purpose automation

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