PromptSuggestion

Smart Dislike · MCP Server

🧠PromptSuggestion · Smart Dislike MCP Server

Turn a thumbs down into a sharper prompt.

This MCP server reads the conversation behind a disliked LLM response, identifies what went wrong, and gives you one focused follow-up prompt you can send immediately.

How it feels in chat

Assistant: “Docker is kind of like a whale for your code lol”
You:👎 Smart Dislike

Suggested prompt:

Explain what Docker is and what problem it solves, using a simple analogy. Then give me two concrete examples of how a beginner would use it.

The MCP server always returns one best prompt.

Watch the Demo

A quick preview showing how Smart Dislike turns a bad answer into a perfect follow-up prompt.

Core idea

One solid follow-up prompt

Instead of five vague suggestions, you get one carefully rewritten prompt tuned to your last request.

Context aware

Understands the chat

You pass recent messages + an optional comment. The server reads the dynamic and fixes what went wrong.

Plug & play

Works wherever MCP works

FastMCP cloud, Chrome extension, or local Claude Desktop setup.

For builders

FastMCP / Dev mode

Connect the hosted MCP server URL in your LLM's developer mode, then call the tool whenever you need a better prompt.

Everyday chat

Chrome extension

Adds a Smart Dislike button on top of the normal thumbs-down in the browser, without touching the model UI.

Local workflow

Claude desktop

Run the MCP server locally and wire it into Claude desktop for fully local experimentation.

How PromptSuggestion thinks

Three quick steps from 👎 to a better prompt

1

1. Capture the moment of frustration

You dislike an answer and pass a small window of recent messages + optional comment.

No need to explain everything again.

2

2. Analyze intent vs. reply

It infers what you really wanted and why the assistant’s response fell short.

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3. Return a sharper prompt

You get one clean, first-person prompt plus a small summary + confidence score.