Agent use case pack · Games

Debug a camera game through an MCP server inside the running app

by PaperChaseWebb

A webcam watches your monitor while you practice with a laser training pistol, and the game scores each hit. Claude Code wrote all of it over about two weeks, and the trick that made it work was giving the agent live access to the running app.

Preview card for Debug a camera game through an MCP server inside the running app
Works withClaude CodePlain .md
Price
Free
Difficulty
Advanced
Setup
1 hr
Format
.md file
Free sample

debug-a-camera-game-through-an-mcp-server-inside-the-running-app.md · 2 KB · direct download, no signup

Download free

What you end up with

The key design choice was that the MCP tools return raw measurements, not verdicts like 'hit detected', so the agent reasons from evidence instead of trusting a summary.

What you get

  • A plain-language summary of the workflow
  • A fill-in prompt template
  • What to watch out for
  • A link to the original source

Who it is for

Builders who already use AI agents and want a proven workflow they can copy into their own project.

Works with

Claude CodePlain .md

Solid chips: the agent is named in this listing's own tools list. Dashed chip: Plain Markdown, so it also pastes into other agents such as Grok Bot, Hermes, OpenClaw or Muse. We list those as compatible by format only, not as tested.

Tools needed

Claude Codewrote all of the code
Custom in-process MCP serverexposes camera frames, detector values, coordinates and key presses to the agent
Webcamtracks laser hits on the screen
You needAn AI coding agent or chat model
You needA small real task to try it on

Cost to run: Free with the agent plan you already use.
Time to result: One working session

How it works

  1. Read what they did

    Skim the source post linked below, then the summary on this page.

    Expected: You know the setup and the one rule that made it work.

  2. Fill in the template

    Copy the prompt and replace every [bracketed] value with your own project details.

    Expected: A prompt that fits your project.

  3. Run it once and check

    Run it on a small task first and confirm the result yourself before you trust it on real work.

    Expected: One verified run.

Sample prompt from the pack

Workflow template · Claude Code, Custom in-process MCP server
Add a small MCP server inside your running app, not a separate process
Expose read tools for raw inputs (a camera frame, sensor values) and intermediate math, including rejected candidates
Add one write tool for simulated input, such as key presses
Ask the agent to reproduce the bug, then reason from the numbers it pulled before changing code

Adapted by PaperChaseWebb. Not the original author's prompt.

Free preview of the file

debug-a-camera-game-through-an-mcp-server-inside-the-running-app.md (excerpt)2 KB total
# Debug a camera game through an MCP server inside the running app

PaperChase agent use case (free feed entry), version 1.0. Source: [u/vkorost on r/ClaudeAI](https://www.reddit.com/r/ClaudeAI/comments/1xeqtp1/i_built_a_laser_dryfire_shooting_game_with_claude/), 2026-10-25.

## What they did

The builder made a desktop game where a webcam pointed at the monitor detects laser hits, using on-screen markers so the camera can sit off to the side. It has 9 drills, 15 target figures and a two-player mode. To fix detection bugs, they put an MCP server inside the app so Claude could pull a camera frame, read the detector's numbers including the spots it rejected, check coordinates and send key presses.

## Worth knowing

The key design choice was that the MCP tools return raw measurements, not verdicts like 'hit detected', so the agent reasons from evidence instead of trusting a summary. The author says that cut a typical diagnosis from hours to about 90 seconds. The same pattern applies to any app with sensors or a camera in the loop.

Worth knowing

  • The key design choice was that the MCP tools return raw measurements, not verdicts like 'hit detected', so the agent reasons from evidence instead of trusting a summary. The author says that cut a typical diagnosis from hours to about 90 seconds. The same pattern applies to any app with sensors or a camera in the loop.
  • Figures are as reported by the original author and were not re-measured by us.

Questions

Where does this come from?

A public post credited to u/vkorost on r/ClaudeAI. Source: https://www.reddit.com/r/ClaudeAI/comments/1xeqtp1/i_built_a_laser_dryfire_shooting_game_with_claude/

Is it free?

Yes. Feed entries are free to read and download.

Details

Version 1.0 · Updated Oct 26, 2026 · Markdown version of this page
License: Personal and commercial use. Credit the original source when you share the workflow. Download terms

hardwarecomputer-visionmcpdebuggingclaude-code