Your network moves faster than you can scroll
Important posts vanish under noise. LinkedIn MCP keeps a structured feed your agent can query, so “what did my ICP talk about this morning?” becomes a prompt — not an hour of doomscrolling.
LinkedIn MCP
Early access opening soon
Network intelligence for AI agents
$49/month
Connect your LinkedIn feed to Claude, ChatGPT, and every MCP-ready agent — collect what your network is saying, analyse it, schedule posts, and comment on the conversations that match your ICP.
Leave your email. We’ll notify you the moment you can connect your agent.
The problem
Better insights about your network. Better messaging targeted to your audience. That’s the gap LinkedIn MCP closes — by giving AI agents a live, structured window into the feed and the ability to act on it.
Important posts vanish under noise. LinkedIn MCP keeps a structured feed your agent can query, so “what did my ICP talk about this morning?” becomes a prompt — not an hour of doomscrolling.
When messaging isn’t grounded in what people just said, it falls flat. Agents that can see the feed draft posts and comments that map to real conversations, language, and timing.
Feeds live in the browser. Drafts live in a doc. Schedulers live somewhere else. MCP puts collect → analyse → draft → schedule → comment in one loop your AI agent already speaks.
What you get
From feed to published comment without leaving the agent you already use.
Stay current on what your network is saying without living in the feed. We pull posts, context, and signals so your agent can see the conversation as it unfolds.
Plug Claude, ChatGPT, Cursor, or any MCP-compatible agent into your live LinkedIn data. Ask plain-language questions. Spot ICP language. Surface the threads that matter.
Draft and schedule LinkedIn posts from the same agent session that analysed the feed. Messaging stays aligned with your product, ICP, and the moment — not a disconnected content calendar.
Identify relevant ICP and buyer posts, draft comments that sound like you, and publish when ready. Less spray-and-pray. More resonance with the people you actually want to reach.
Real prompts, real feed signal
Drop your site and brand book into Claude or ChatGPT. LinkedIn MCP returns ICP posts worth commenting on — not viral fluff — then schedules your own feed posts on the topics heating up right now.
10×
Reply rate
vs. cold commenting
10×
Engagement
on scheduled posts
10×
Impressions
from timely ICP topics
Illustrative outcomes when messaging tracks live ICP conversations.
LedgerLoop
SMB finance · Controller / CFO
You
We're LedgerLoop — AP automation for 20–80 person SaaS. Brand book: blunt, operator-first, no AI hype. Scan my LinkedIn feed for Controller/CFO posts about month-end close, messy payables, or Claude pilots. Skip celebrity fluff.
Claude
Pulled 847 posts from the last 15 minutes. Filtered out viral noise (2.6k-reaction inspiration posts, giveaways). Here are three ICP threads worth acting on:
Feed scan · Finance ICP
41 high-reach posts hidden (celebrity, giveaways, comment-bait).
Why does close still take 32 days when we bought the ERP upgrade?
CFO asked what our Claude agent costs. Six of the cost drivers are input design, not the model.
10 habits of unstoppable leaders…
Active suggestions
Mirror “fast bad numbers are still bad.” Three-day close dies on reverse charge + portal PDFs — booking-ready payables first.
Agree on agent cost → land on invoice quality as the silent multiplier. Tag author, URL in first comment.
Tie to hot topic: “Controllers aren’t anti-AI — they’re anti bad inputs.”
Scheduled post
Your Controller isn’t resisting AI. They’re resisting pilots built on clean sample invoices. The team lives in portal PDFs, split cost centres, and exceptions that never hit the ERP cleanly. Connect Claude to that and “human in the loop” becomes humans cleaning the loop. Adoption follows when payables are booking-ready before the agent sees them.
Matched LedgerLoop positioning to live finance-operator language — not generic AI takes.
Coming next
LinkedIn ships first. Reddit group feeds, analysis, scheduling, and comments follow on the same MCP surface — so your agent can work professional networks and community threads without learning a second product.
How LinkedIn connects
We don’t pretend LinkedIn is a clean public API. Connection is deliberate: local execution when you need it, browser session capture when you need that, and a steady feed window so agents stay current.
When LinkedIn needs a residential IP, run a small drone on a Linux box via Docker. It heartbeats to LinkedIn MCP, claims feed and publish jobs, and executes them from your network — not a datacenter.
The extension captures your LinkedIn session and can post or comment in the real browser tab when automation needs a live session. Backup path when the drone isn’t available; essential for composer and comment flows that are hard to fake headlessly.
LinkedIn and Reddit feeds refresh on a 15-minute cadence. Your agent always works against a recent slice of the network — close enough for timely replies, paced enough to stay sustainable.
The use case
Point your agent at your website and positioning doc. Ask what your finance, tech, or marketing ICP is talking about this week. LinkedIn MCP filters the feed, surfaces high-comment operator posts, drafts comments and quote-posts, and schedules your own content on the same hot topics — inside Claude, ChatGPT, or Cursor.
The outcome is simple: more replies, more engagement, more impressions — because you show up in conversations that already matter to your buyers, with language pulled from those conversations.
FAQ
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