LinkedIn Profile Posts

Give it a LinkedIn profile URL, get back the recent posts that person wrote.

What it does

• Returns the recent posts authored by a LinkedIn profile. A bare username works in place of the full URL.
• Each post comes back with its content, engagement and timestamp.
• Cost is per post returned, so max_posts is what you pay for — 10 posts is 3 credits, 100 is 30.

This is what the person publishes. For what they react to, use linkedin_profile_reactions; for what they say on other people’s posts, use linkedin_profile_comments.

For a company page rather than a person, use linkedin_page_posts.

Use cases

• Personalise from what they published. Their own posts show the problems they are talking about publicly this month.
• Vet a creator or partner. Content and engagement together show whether the audience is real.
• Track a champion’s agenda. What a contact posts about is what they are being measured on internally.
• Find the angle for a campaign. Recurring themes across a target persona’s posts tell you which message will land.

How to use it

Get the last 10 posts from linkedin.com/in/janedoe

Get the last 50 posts from linkedin.com/in/janedoe and summarise the
three topics she writes about most.

From those posts, pick the one with the highest engagement and draft a
two-line opener that references it specifically. No flattery.

Example prompts

Best prompting practices

• Say “posts they wrote”. Otherwise your client may reach for the reactions or comments tool, which answer different questions.
• Raise max_posts for pattern-finding, but raise it deliberately. Ten posts show what is recent; fifty show what they actually care about — and cost five times as much, since you pay per post.
• Ask for a summary, not a dump. “Summarise the three themes” is more useful than 50 raw posts in the chat window.
• Keep the post URL and date on every theme. Without them you cannot check the quote before it goes into an email, and a client that is summarizing will happily blur two posts into one.
• Quote specifics in outreach. A reference to one post beats a generic “loved your content”.
• Treat a quiet profile as a routing decision. “If fewer than three posts come back, mark the person no content and check linkedin_profile_comments instead” — most people comment far more than they publish.
• Filter the list before you scrape it. Per-post billing means a 200-profile sweep is not a research step, it is a bill. Run it on the people you are actually writing to.
• Batch by list, cap the run. “Do this for these 20 profiles, stop there, report credits used.”

Output

{
  "posts": [
    {
      "content": "We rebuilt our onboarding this quarter...",
      "posted_at": "2026-07-28",
      "engagement": { "reactions": 214, "comments": 31 },
      "url": "https://linkedin.com/posts/janedoe-activity-123"
    }
  ]
}

Credits and limits

0.3 credits per post returned. max_posts accepts 1–100 and defaults to 10, so the default call costs up to 3 credits and a 100-post call up to 30. A quiet profile that returns fewer posts costs less. Run check_credits (free) before a large batch.

Parameters

Related tools

Next steps

• All MCP tools — the full catalogue with credit costs
• MCP use cases — personalisation workflows
• AI for Sales Reps — workflows that chain this tool into outreach

Keep learning

Two courses take these tools past the reference page — clustered by GTM job, then chained into workflows.