X Post Commenters
Give it an X (Twitter) post URL, get back the accounts that commented on it.
- Tool
x_post_commenters- Cost
- 0.4 credits
- Category
- X (Twitter)
- Required input
post_url- Returns
- Accounts that commented on the post
What it does
- Returns the accounts that commented on an X post.
- One call, not pages — set
max_resultsbetween 1 and 1000. Default is 100. - Useful for building warm lead lists from an engaged audience: people who replied to a post about your problem space already care about it.
- Returns X accounts, not LinkedIn profiles. There is no email in the response.
This gives you handles. To reach a work inbox you need a LinkedIn profile first — match the person with find_people, then run find_work_email.
Parameters
| Parameter | Type | Required | Notes |
|---|---|---|---|
post_url | string | Yes | Full X post URL |
max_results | number | No | 1–1000, default 100 |
How to use it
Connect the MCP server
Follow the setup guide for your client. Browser sign-in, no API key.
Find the post
Get the recent posts from @stripe and show me the ones about revenue
operations with the most replies.Pull the commenters
Get the commenters on that X post. 500 results.Filter to real prospects
Drop accounts with no bio, no company and fewer than 50 followers.
Keep the ones whose bio names a job title.Cross over to LinkedIn
For the accounts that survived, search for a matching LinkedIn profile by
name and company. Only keep confident matches.Example prompts
| Ask your client | What you get back |
|---|---|
| ”Who commented on this X post?” | Commenting accounts with their comment text |
| ”Commenters on this post, 500 max” | A larger single-call pull |
| ”Commenters, keep only bios that mention a company” | A filtered warm list |
| ”Find posts from this profile first, then their commenters” | Chains x_profile_posts — 0.4 credits |
Best prompting practices
- Set
max_resultsdeliberately. The default of 100 truncates a busy thread; 1000 on a quiet one just returns everything available. - Filter on the bio. X bios are the only firmographic signal in the response. No bio usually means no usable prospect.
- Do not expect emails. This tool returns social accounts. Any email has to come from a separate enrichment step.
- Pick topic posts over brand posts. A reply to “here is how we forecast” beats a reply to a product announcement.
- Batch by post, not by account. One call covers a whole thread — there is no reason to run it per person.
Output
{
"commenters": [
{
"username": "janedoe",
"name": "Jane Doe",
"bio": "VP RevOps",
"comment": "We hit exactly this problem last quarter."
}
]
}Credits and limits
0.4 credits per call, flat, whatever max_results you set. Maximum 1000 commenters per call. Run check_credits (free) before working through a list of posts.
A high max_results does not create commenters that are not there. If a thread
has 40 replies, asking for 1000 returns 40 and costs the same 0.4 credits.
Related tools
| Tool | Use it instead when |
|---|---|
x_profile_reactions | You want one profile’s posts with per-post reaction totals rather than the accounts that reacted — 0.2 credits |
x_profile_posts | You need the post URLs first — 0.4 credits |
linkedin_post_commenters | You want the same play on LinkedIn, where profiles carry job titles — 0.3 credits |
tiktok_comments_from_post | You want the same play on TikTok — 0.3 credits |
Next steps
- Automated Outbound — build a warm list from post engagement, end to end
- All MCP tools — the full catalogue with credit costs
Keep learning
Two courses take these tools past the reference page — clustered by GTM job, then chained into workflows.
SyncGTM MCP Mini CourseBeginnerMCP server · 8 lessons · 1h 31mAll 50 MCP tools clustered by GTM job — lead sourcing, CRM enrichment, social signals, account research, scraping — with copy-paste workflow prompts.AI-Powered GTMIntermediateApp + MCP · 19 lessons · 3h 6mWhere AI earns its cost, how to think in MCP tool chains, and three agentic builds — warm outbound, meeting research, CRM repair.