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Framelet

by liuminxin45version 0.5.1i★ –iRuns on your computer
Registry nameio.github.liuminxin45/framelet

Install

Overview

Description from the maker (original English)

Tiny native Windows screen recorder with keyboard/mouse/frame sync and GIF review.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account liuminxin45, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32531 servers in this category
  • Published to the registry more recently than 91% of the other 32531 servers in this category
  • Basic checks equal to or better than 100% of the other 32531 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Framelet safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.5.1) reached the registry 3 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Reelsaw

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

Reelsaw

by osbytes

Drive a self-hosted Reelsaw: turn long videos into vertical clips, edit, re-render and export them.

Runs on your computerUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Framelet

CLI-first, AI-native Windows recording with keyboard, mouse and frame synchronization.

≈3.8 MiB native EXE · No extra runtime installs · CLI First · AI Native

English · 简体中文 · Download · About

Let an AI operate software while recording its screen and keyboard/mouse events, then query, extract and trim through MCP. Built for AI-driven software tests, bug reproduction, product showcases and walkthroughs. CLI and MCP are the primary interfaces; a native capture frame is also available. No Python, Node.js, .NET or FFmpeg installation is required.

More than a GIF: an interaction timeline

Framelet records keyboard, mouse and frame samples together by default, sharing UTC and monotonic clocks. A timeline and content-integrity manifest accompany the GIF.

  • Unique identities and time: shared observation IDs link input events, original samples and GIF frames, with UTC references and explicit timing offsets.
  • Input independent of FPS: several actions between samples can map to one frame. Unsampled visual changes cannot be recovered.
  • Review and trim with context: locate actions by ID/time, inspect selected pictures, then trim or change speed while preserving original identities and computer-time references.

Keyboard records contain down/up transitions, key codes and scan codes, not clipboard or IME-committed text. Key events can reveal typed content; visual masks are not automatic password protection. Masked mouse coordinates are omitted. Timestamps describe observed intervals, not hardware synchronization; dwell candidates do not identify UI elements.

Small tool, useful capabilities

CapabilityWhat it gives you
Native capture frameMove, resize, record, pause and save; F8 control
Client installation + SkillNative setup/check/uninstall, MCPB and reusable AI recording recipes
CLI + local MCPBackground recording while an agent operates your app
Reliable long recordingNumbered GIFs of at most 300 seconds, automatic rotation and checkpoint recovery
Keyboard/mouse/frame timelineLocate failed steps and review action results
1–60 FPSState checks and high-rate native review; use 30 FPS for browser sharing
Efficient AI reviewFiltered event queries, one-pass batch probes and transient-aware action intervals
Demo preparationNon-invasive anchors, action sampling checks and separate trimmed candidates
GIF editingPrecise time cuts and playback speed changes
Native frame extractionPNGs, contact sheets, timestamp probes and region comparisons
Privacy and guardrailsFixed masks, scoped MCP paths, no-overwrite and resource limits
Isolation and integritySupervised capture process, content hashes and recovery markers

Static acceptance can use 1 FPS. Use 10–15 FPS only for explicitly size-first clips where smooth motion is secondary; human-facing demos default to 30 FPS, including README GIFs. Actual sampling depends on workload.

Measured review performance

v0.4.1 removes repeated segment checks, skips unused RGB conversions and builds candidate previews in one analysis pass. No runtime dependencies were added.

Local MCP workloadv0.4.0v0.4.1Time saved
Probe 64 times in one recording part633 ms52.5 ms91.7%
Analyze the last 0.5 s of a 20 s GIF2,106 ms790 ms62.5%
Analyze + preview the Bilibili demo971 ms566 ms41.7%

Windows, 10 alternating warm runs per version, medians. The group fixture is 64×64; the window fixture is 640×360/600 frames; Bilibili reuses the demo below. Timings exclude model inference and UI operation and depend on input/hardware. Methodology, hashes, memory tradeoffs and raw results.

Example 1 · Real window and recording

The original small real recording: 620×300 · 3 seconds · 16 FPS · 15,250 bytes. This mostly static moving-marker scene is an example, not a general compression benchmark.

Example 2 · Bilibili, operated and recorded through MCP

Start recording → scroll the real browser → stop → probe boundaries → trim idle time.

29.88 seconds → 7.63 seconds. Native region comparisons and interval jumps located boundaries with eight midpoint probes, avoiding intermediate image exports. Read the real walkthrough.

These demos predate synchronized timelines. Current releases record keyboard/mouse/frame timelines by default; the older media illustrates capture and editing.

For viewing GIFs and inspecting them frame by frame, we recommend Minimal Image Viewer.

Made for local workflows

Windows 10 2004+ / Windows 11 x64, visible desktop capture. No built-in cloud uploads or telemetry. GIF/PNG only; no audio or MP4. Agent guide · Timeline details · Changelog.

By Neo / 刘民心. Inspired by GifCam, independently implemented. MIT.

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