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MCPToolsProfile Comments

LinkedIn Profile Comments

Give it a LinkedIn profile URL, get back the comments that person has left on other people’s posts.

Tool
linkedin_profile_comments
Cost
0.2 credits
Category
LinkedIn Profile
Required input
profile_url
Returns
Comments with replies and parent-post context

What it does

  • Returns the comments a profile has left on other people’s posts. A bare username works in place of the full URL.
  • Each comment comes with its replies and the parent post’s author and engagement, so you can read it in context.
  • This is the strongest personalisation signal of the three profile-activity tools — it surfaces opinions in the prospect’s own words.
  • Returns 3 comments by default, up to 50 per call via max_results.
  • posted_limit narrows results by recency — any, 24h, week, month, 3months, 6months.

Many people comment far more often than they post. If linkedin_profile_posts comes back thin, try this tool before writing the prospect off as inactive.


Parameters

ParameterTypeRequiredNotes
profile_urlstringYesFull profile URL or username
max_resultsnumberNo1–50, default 3
posted_limitstringNoany, 24h, week, month, 3months, 6months; default any

How to use it

Connect the MCP server

Follow the setup guide for your client. Browser sign-in, no API key.

Pull recent comments

Show me the comments linkedin.com/in/janedoe has left in the past month.

Widen the sample

Get 25 of her comments from the last 3 months. For each, include the parent post's author and topic.

Find the opinion

From those comments, list the positions she has actually argued — things she is for and against. Quote her wording.

Write the opener

Draft a two-line opener that engages with one of those positions directly. No compliments, no summary of her comment back to her.

Example prompts

Ask your clientWhat you get back
”What has this person been commenting on?”Recent comments with parent-post context
”Get 25 comments and tell me what she believes about outbound”Positions extracted from her own wording
”Which posts does this prospect keep showing up under?”Repeat authors and threads
”What has this person published?”Not this tool — use linkedin_profile_posts

Best prompting practices

  • Say “comments they left”. Otherwise your client may reach for the posts or reactions tool.
  • Set posted_limit. For outreach timing, week or month beats any.
  • Raise max_results. Three comments is a spot check. Twenty-five shows a consistent point of view, and the call costs the same.
  • Ask for quotes. “Quote her wording” gives you material you can respond to, rather than a paraphrase you have to trust.
  • Do not parrot the comment back. Engaging with the position works. Repeating what they said reads as a bot.
  • Fall back to this tool when the profile has no posts. Commenting is far more common than publishing.

Output

{ "comments": [ { "content": "Disagree — attribution is not the bottleneck here...", "posted_at": "2026-07-30", "parent_post": { "author": "John Smith", "engagement": { "reactions": 412, "comments": 58 } }, "replies": [] } ] }

Credits and limits

0.2 credits per call, flat. max_results accepts 1–50 and defaults to 3. Run check_credits (free) before a large batch.

A tight posted_limit like 24h will often return nothing. Widen to week or month before concluding the profile is inactive, and check linkedin_profile_reactions as a second signal.


ToolUse it instead when
linkedin_profile_reactionsA like or repost is signal enough — 0.2 credits
linkedin_profile_postsYou want what they published themselves — 0.3 credits
linkedin_profile_enrichYou need their history, not their opinions
linkedin_post_commentersYou have a post URL and want everyone who commented on it

Next steps


Keep learning

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