Reads your LinkedIn state
Connected senders, campaigns, leads, replies, signal feeds — the agent reads everything LinkedNav knows so its next action is grounded in real account state, not a hallucination.
LinkedIn AI agent · Powered by MCP
Connect Claude (or any MCP-compatible AI agent) to LinkedNav via mcp.linkednav.com. The agent reads your account state, builds and launches campaigns, drafts replies in the unified inbox, monitors buying signals, and reports daily — all without you typing each step.
A LinkedIn AI agent is an AI model that can read your LinkedIn outreach state and take real actions inside it — building campaigns, sending connection requests and follow-ups, drafting replies, monitoring signals — without you typing each step.
The distinction from “AI writing assistant” matters. A writing assistant generates copy you paste somewhere. An agent operates the tool. LinkedNav is the first LinkedIn outreach platform with a first-class MCP server, which is what makes a genuine LinkedIn AI agent possible without custom integration work.
The same actions a senior SDR takes, all available to the agent over MCP — with the same safety guardrails LinkedNav enforces when you operate it directly.
Connected senders, campaigns, leads, replies, signal feeds — the agent reads everything LinkedNav knows so its next action is grounded in real account state, not a hallucination.
Brief the agent in plain English. It searches LinkedIn for the target persona, enriches contacts, writes the sequence, assigns senders, and launches — all without leaving the chat window.
New replies hit the unified inbox. The agent reads the full thread, drafts a contextual response, and either sends after your approval or queues for a teammate.
Job changes, post engagement, competitor follows, group activity — the agent monitors signal feeds and adds matching leads to live campaigns automatically.
Connection rate, reply rate, meetings booked, account health — the agent summarizes the metrics that matter and flags accounts at risk before LinkedIn does.
Under 30 minutes from sign-up to the first agent-driven campaign in flight.
Free 7-day trial. Install the Chrome extension, connect one LinkedIn account, and assign a dedicated proxy. Takes 5 minutes.
In Claude, add a new MCP server pointing at mcp.linkednav.com. Authenticate with your LinkedNav API key. The agent now has scoped access to your account.
“Find 300 Heads of Growth at PLG SaaS companies, enrich them, run a 4-step LinkedIn + email sequence about our analytics tool, pace it across 3 senders at 15 requests / day each.”
The agent shows you the lead list, the sequence copy, the sender assignment. You approve. Sending starts on the schedule, with all the safety defaults LinkedNav ships with.
Each morning the agent posts metrics in chat: connection rate, replies, meetings booked, anything flagged. You decide whether to scale, pivot copy, or pause.
A LinkedIn AI agent is an AI model (typically Claude) that can read your LinkedIn outreach state and take real actions inside it — building campaigns, sending connection requests and follow-ups, drafting replies, monitoring signals — without you typing each step. It is different from an AI writing assistant: the agent does not give you copy to paste; it takes the action itself.
Sign up for LinkedNav, install the Chrome extension and connect a LinkedIn account, then add mcp.linkednav.com as an MCP server in Claude. Once connected, Claude has scoped access to your LinkedNav workspace and can run the full outbound workflow on your behalf. There is no code to write.
MCP (Model Context Protocol) is the open standard from Anthropic that lets AI agents read and write to real applications. LinkedNav was one of the first LinkedIn outreach platforms to publish a first-class MCP server, which is why Claude can drive outreach on LinkedNav directly. Without MCP, the agent can only tell you what to do — it cannot do it.
Yes — the safety guardrails are the same ones LinkedNav uses when you operate it directly. Conservative daily caps per account, dedicated proxies, human-paced sending, personalization at send time. The agent does not bypass any of this; it operates within the same envelope you would.
It drafts. You approve. Or, optionally, you let it auto-send replies on threads that are clearly routine (e.g., handling “not now, try again in Q3” politely). The high-value conversations — qualified prospects, edge cases — are always surfaced to you with a recommended draft.
Any MCP-compatible client. Claude desktop, Claude Code, Claude via the API, and other MCP clients are all supported today. As MCP adoption spreads (OpenAI, Cursor, etc.), the same LinkedNav workflows become available in those clients without extra integration work.
A smart reply suggests one message. A LinkedIn AI agent runs the entire outbound program — sourcing, enrichment, sending, replying, signal monitoring — across multiple campaigns and senders. The unit of work is different by orders of magnitude.
Nothing extra on top of your LinkedNav plan. The MCP server is included. You pay the underlying AI model cost (Anthropic API or your Claude subscription), which for a typical SDR-team workflow runs a small fraction of the LinkedNav subscription itself.
Connect a sender, plug Claude into mcp.linkednav.com, brief the agent. The first campaign is running in 30 minutes.