Files generated tasks as Asana tasks, mapping titles to task names, descriptions and steps to notes, task kinds to tags, and attaching selected frames where supported.
Files generated tasks as GitHub Issues, using issue titles and bodies for descriptions, steps, and done-when criteria, labels for task kind, and frame images in the issue body where supported.
Files generated tasks as Jira issues, mapping task titles to summaries, descriptions and steps to issue descriptions, task kinds to issue types, and attaching selected frames where supported.
Files generated tasks as Linear issues, mapping titles and descriptions to Linear issues, task kinds to labels or issue types, and attaching selected frames where supported.
Files generated tasks as Trello cards, mapping task titles to card names, descriptions and steps to card descriptions, task kinds to labels, and attaching selected frames where supported.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Showntask make tasks from my last recording, with screenshots"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Record your screen and talk. Your own AI agent turns it into tasks, with screenshots.
Showntask records an area of the screen and your voice, transcribes it on your PC with Whisper, and keeps candidate frames from the video. It is also an MCP server, so Claude Code, Codex, Cursor, Claude Desktop or any MCP client can read the recording, look at the frames, write the tasks and file them on your board (GitHub Issues, Linear, Jira, Trello, Asana, Azure DevOps) through the connectors you already have.
No API keys, no account, no cloud. Showntask never calls an AI model; your agent does the work on your own subscription.
Free and open source (MIT). Windows 10 and 11 for now.
Install from Releases.
Connect your agent once: open Connect an agent in the app, copy the line for Claude Code, Codex, Cursor, Claude Desktop or VS Code, and run or paste it (details below).
Press Ctrl+Alt+T, drag over an area, talk through what you see, press Ctrl+Alt+T again.
Ask your agent: "make tasks from my last Showntask recording".
Related MCP server: talkthru
Download Showntask-Setup-<version>.exe from
Releases and run it. The installer is not signed
yet, so Windows SmartScreen shows "Windows protected your PC": click More info, then
Run anyway.
On first use Showntask downloads whisper.cpp (about 9 MB) and a Whisper model (about 190 MB by
default) into %APPDATA%\Showntask\speech. If you already have whisper.cpp and a model, point
Settings at that folder instead.
Press Ctrl+Alt+T (or Record), drag over the area to record, press Record. Talk while you work. Press Ctrl+Alt+K to mark a moment that must become a task.
Press Ctrl+Alt+T again to stop. Showntask pulls out the sound, transcribes it and picks candidate frames in the background.
Ask your agent: "make tasks from my last Showntask recording", or run the make-tasks prompt
(in Claude Code: /mcp__showntask__make-tasks). It reads the transcript, looks at contact
sheets of the frames, picks the ones that show each point, shows you the list and saves it.
Then "file them on GitHub" (or run file-tasks): your agent creates the issues with your own
connector and Showntask remembers what went where.
Import a video you already have (OBS, Loom, a phone) from the Recordings page.
The Connect page in the app shows the exact line for each agent, with a copy button. For Claude Code:
claude mcp add --scope user showntask -- "C:\Users\<you>\AppData\Local\Programs\Showntask\Showntask.exe" --mcpCodex (%USERPROFILE%\.codex\config.toml):
[mcp_servers.showntask]
command = 'C:\Users\<you>\AppData\Local\Programs\Showntask\Showntask.exe'
args = ['--mcp']Cursor, Claude Desktop and VS Code take the same command and --mcp in their mcp.json.
No MCP? Every recording's folder (%USERPROFILE%\Showntask\<date-time>) holds
transcript.md, the frames and MAKE-TASKS.md. Tell any agent that can read files: "Read
<folder>\MAKE-TASKS.md and do what it says". For claude.ai or ChatGPT in a browser, use
Export for chat and upload the zip.
Tool | What it gives |
| Your recordings: id, title, length, line and task counts |
| Metadata and the timed transcript |
| Part of a transcript, for long recordings |
| Frames as images, nearest the seconds asked |
| The candidate frames in a span and why each was picked |
| One image of a span's candidates, labelled |
| The best candidates ranked without looking, for agents without vision |
| Lines matching words across recordings |
| The task list in the recording's folder |
| The prompts as text, for clients without prompts |
Prompts: make-tasks, file-tasks, summarise-recording. Resources:
showntask://recordings/<id>/transcript.md, meta.json, tasks.json, frames/<mmss>.jpg.
Field | GitHub Issues | Linear | Jira | Trello | Asana | Azure DevOps |
title | title | title | summary | card name | task name | Title |
description, steps, done when | body | description | description | card description | notes | Description / Repro Steps |
kind | label | label or type | issue type | label | tag | work item type |
frames | image in body | attachment | attachment | attachment | attachment | attachment |
Many connectors cannot upload local images; then the agent writes each frame's path into the item and tells you which ones to drag in.
Nothing leaves your PC from Showntask: no telemetry, no account, no update check. The only download is Whisper, once.
Once your agent reads a recording, its transcript and the frames it looks at go to that agent's AI provider, under your terms with them.
Frames can show secrets. Delete a frame, or everything said and shown in a span, from the recording's page before an agent sees it. Showntask's own windows are kept out of the video.
Old recordings can be deleted automatically (Settings).
The MCP server only reads the recordings folder and never runs commands.
Showntask is free. Your agent's work runs on your own subscription: a long talk is a long transcript, and each contact sheet or frame is an image (Claude bills about width x height / 750 tokens per image, so 1,200 tokens for a 1280x720 frame). The make-tasks prompt tells the agent to look at sheets first and fetch only the frames it keeps. Turn frame viewing off in Settings to pick frames without looking.
npm install
npm test # unit tests
npm run smoke # hidden end-to-end run: records a painted canvas, never your screen
npm start
npm run dist # dist\Showntask-Setup-<version>.exePlain JavaScript, Electron, no build step. No ffmpeg: WebM, MKV and MP4 are read by Showntask's own readers and decoded with WebCodecs.
MIT. whisper.cpp (MIT) is downloaded at first use, not bundled.
This server cannot be deployed
OCR, transcription, file extraction, and image generation for AI agents via MCP.
Task management your AI agents can actually run. One line becomes a context-ready task over MCP.
Shared memory for your AI tools: tasks, notes and context every tool can read and write over MCP.
Roadmap, tasks, releases and user feedback your coding agent reads and writes over MCP.
