Let clients chat with their social media sentiment instead of dashboards

A community-management company exposes follower conversations over MCP so customers can ask their own AI what people are angry about.

Difficulty
IntermediateOur rating
Time to build
Not reportedOur estimate
Monthly cost
Not reported
Revenue
Not reportedWe only show revenue the source states
Engagement
0 replies to HN commentComment in β€œAsk HN: Who is using MCP in production?” (198 points, 201 comments) Β· fetched Oct 15, 2026

What they did

itzprintz’s company TrollWall does social media community management and offers an MCP server for topics, sentiment, example comments and month-over-month comparisons.

How it went

Every customer wanted a different angle, and conversation in ChatGPT or Claude beat the analytics screens they had tried to build. Claude can even produce a PDF report at the end.

Worth knowing

Let customers bring their own AI rather than building every report screen.

Builder recipe

Our own starting point, written from the source. Adapt it to your setup.

Stack

  • MCP server over your analytics data
  • ChatGPT or Claude

Steps

  1. Define the format and audience for the content.
  2. Have the agent generate drafts and assets from a template.
  3. Review before publishing.
  4. Track performance and feed winners back into the prompt.

Starter prompt

Using the community tool, what are followers most angry about this month vs last month? Show 5 real example comments and suggest one reply strategy.

Tags

Read the original

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