LinkedIn MCP Server for AI Agents and Agencies – Reach MCP

Quick Verdict

Reach MCP is a LinkedIn runtime for AI agents, delivered through a remote MCP server and REST API, and it may matter to teams that want agents to operate managed LinkedIn accounts. The website describes support for common LinkedIn workflows such as prospecting, messaging, Sales Navigator, and posts, but buyers should verify quotas, account-policy implications, data handling, and billing details before connecting real accounts.

Key Features

Reach MCP operates a real LinkedIn account through the account owner's own session. It is designed for AI agencies and builders, with access from Claude, ChatGPT, Cursor, n8n, Make, or custom code.

The documented capabilities include prospecting, messaging, Sales Navigator, and post-related workflows. Integration is available through both MCP and REST API interfaces. The service also provides structured errors and idempotent operations, which appear intended to make automated workflows more predictable.

A proxy is included, and daily quotas are enforced server-side for each account. Branded client invite links are also listed, which may be relevant for agencies managing accounts for clients. The website describes Reach MCP as built on Kanbox and references a 4.8/5 Capterra rating.

Pricing is described as starting at $20 for the first account and decreasing to $5 per account, with a free starting option. The website does not clearly state the complete billing structure, quota values, storage and retention practices, security controls, uptime commitments, or detailed LinkedIn API limits.

Who this is for

This appears best suited to AI agencies and technical builders that need LinkedIn access inside agent or automation workflows, especially when working across client accounts or connecting tools such as n8n, Make, and custom code.

It is less suitable for buyers seeking a fully documented compliance, security, or service-level profile without additional due diligence. Because the service operates real LinkedIn accounts through their owners' sessions and applies daily quotas, verify account permissions, LinkedIn policy compliance, enforcement risk, quota calculations, and support terms on the official website before deployment.