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PopNx MCPMCP servers for people who use AI · explained in plain words

LeClap

by heristopversion 0.3.4i★ –iRuns on your computer
Registry namedev.leclap/video

Install

Overview

Description from the maker (original English)

Compose and render video from one JSON template. Deterministic, runs locally, no generative model.

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: Design, images & audio

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).
  • You fill in yourself: LECLAP_MCP_OUTPUT_DIR, LECLAP_MCP_MEDIA_DIR, LECLAP_MCP_RENDER_TIMEOUT_MS, LECLAP_MCP_ALLOW_REMOTION, LECLAP_MCP_REMOTION_ENTRY

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "video": {
      "command": "npx",
      "args": [
        "-y",
        "@leclap/mcp"
      ],
      "env": {
        "LECLAP_MCP_OUTPUT_DIR": "your-value",
        "LECLAP_MCP_MEDIA_DIR": "your-value",
        "LECLAP_MCP_RENDER_TIMEOUT_MS": "your-value",
        "LECLAP_MCP_ALLOW_REMOTION": "your-value",
        "LECLAP_MCP_REMOTION_ENTRY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add video --env LECLAP_MCP_OUTPUT_DIR=your-value --env LECLAP_MCP_MEDIA_DIR=your-value --env LECLAP_MCP_RENDER_TIMEOUT_MS=your-value --env LECLAP_MCP_ALLOW_REMOTION=your-value --env LECLAP_MCP_REMOTION_ENTRY=your-value -- npx -y @leclap/mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "video": {
      "command": "npx",
      "args": [
        "-y",
        "@leclap/mcp"
      ],
      "env": {
        "LECLAP_MCP_OUTPUT_DIR": "your-value",
        "LECLAP_MCP_MEDIA_DIR": "your-value",
        "LECLAP_MCP_RENDER_TIMEOUT_MS": "your-value",
        "LECLAP_MCP_ALLOW_REMOTION": "your-value",
        "LECLAP_MCP_REMOTION_ENTRY": "your-value"
      }
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "video": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@leclap/mcp"
      ],
      "env": {
        "LECLAP_MCP_OUTPUT_DIR": "your-value",
        "LECLAP_MCP_MEDIA_DIR": "your-value",
        "LECLAP_MCP_RENDER_TIMEOUT_MS": "your-value",
        "LECLAP_MCP_ALLOW_REMOTION": "your-value",
        "LECLAP_MCP_REMOTION_ENTRY": "your-value"
      }
    }
  }
}

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.

Values you fill in

  • LECLAP_MCP_OUTPUT_DIR env
    Directory rendered videos are written to. Defaults to ~/.leclap/renders.
  • LECLAP_MCP_MEDIA_DIR env
    Allowlisted directory the server may read source media from. Defaults to ~/.leclap/media.
  • LECLAP_MCP_RENDER_TIMEOUT_MS env
    Per-render timeout in milliseconds. Defaults to 600000.
  • LECLAP_MCP_ALLOW_REMOTION env
    Opt in to the Remotion clip renderer, which executes local JavaScript. Off by default.
  • LECLAP_MCP_REMOTION_ENTRY env
    Path to a Remotion entry point used by render_remotion_clip when it is enabled.

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 against the domain leclap.dev (the registry checks domain ownership)

  • … 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 Design, images & audioi

  • More stars than 0% of the other 2184 servers in this category
  • Published to the registry more recently than 26% of the other 2184 servers in this category
  • Basic checks equal to or better than 100% of the other 2184 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 LeClap 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 (0.3.4) reached the registry 2 months ago.

Which apps can use it?

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

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

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Claude Real Video

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Let any LLM watch a video locally — and search everything it has ever watched.

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Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

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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.

@leclap/mcp

Connect your AI agent to LeClap’s video engine. Discover samples, author a template, validate it, inspect real frames, revise and render. Start with the agent guide.

An MCP server that exposes the ffmpeg-video-composer engine as agent-callable video tools.

An AI agent (Claude Desktop, Cursor, …) is the LLM; this server helps it author a customized template with nice effects from the schema, then validates and renders it deterministically to an mp4. The server includes the 50 showcase samples through the shared packaged catalog, with creative direction, descriptors and required inputs. It works without the app or private creative-kit at runtime. Remotion-assisted authoring is an optional path. The result is _agent-composable, deterministic, reproducible_ video — the opposite of generative video models, which sample rather than render.

Tools

ToolDescription
get_samplesWithout id: sample metadata and required inputs, filtered by category/backend/query → { samples }; with id: that sample with its self-contained template JSON
get_template_schemaThe JSON Schema for a template descriptor + a short authoring guide
get_motion_catalogMotion presets, camera, graphics, transitions, easing/time grammar, themes, platforms, genre doctrine and scene blueprints; { query, kind? } → ranked matches (a query matching nothing is logged to the catalog gap log)
validate_templateDry-run an inline descriptor (no render) → { valid, sectionCount, orientation, requiredClips, formFields, fields?, geometry?, featureWarnings? }; include: ["resolved"] adds resolved (the descriptor for fields/format), include: ["timeline"] adds timeline (sections, motion events, beats, cues)
compose_videoValidate an inline descriptor and render (one format of it, optionally) → { outputPath, durationSeconds, sizeBytes, videoCodec, audioCodec, renderId }, plus a resource_link to the mp4
render_framesRender a native template and return still frames as PNG images + paths: at, atTransitions, perSection, sheet, safe, zoom, variants, looks
edit_templateJSON Patch operations and/or registered effectProps by section name over inline JSON, under expectedRevision, all-or-nothing → { template, revision, changedPaths, changedSections? }
probe_mediaInspect a local media file → codecs, duration, sample rate, size, and HDR / colour / bit depth / VFR / rotation traits
extract_styleReference image/clip under the media dir → { theme, styleGuide, confidence }: palette roles + WCAG contrast, grain, pacing (palette and pacing only)
extract_structureA reference clip's format (shots, rhythm, transitions, grounds, layout) as binding rules for a template. Format only; samples every 0.25 s for up to 2 minutes.
extract_brandA website's brand kit (name, colours, fonts, logo) as a theme and binding rules, saved under /brand-kits/ /. Needs --allow-network.
analyze_musicMeasure a local music file → { bpm, offset, beatsPerBar, confidence, usable, cues, globalBeats } for global.beats and cue:drop
analyze_soundRender an sfx[].sound (composed, or a preset with variations) → length, peak/RMS dBFS, centroid, high/low energy shares, attack, advisories + spectrogram and waveform PNGs
transcribe_mediaTranscribe a local audio/video file's speech with whisper.cpp, locally → { words, srt, language, confidence, advice } to pin into subtitles.words
get_capabilitiesLocal FFmpeg capability report (listings + one-frame probes) → each feature yes/no/unknown with a fix
open_in_builderTemplate → a leclap.dev/studio/builder#t=… link for a person to edit it; the template rides in the URL fragment (never sent to a server) → { url, length, mediaToRebind, warnings }
render_remotion_clip_(bonus, opt-in)_ Render a composition from your own Remotion project → an mp4 clip for a project_video section

analyze_sound seeds a sound's noise and jitter with seed (default 0). To hear the exact render a template will play, pass the template's global.seed as seed and the cue's path as cue: "sections.intro.sfx[0]" for the first cue of the section named intro, "global.sfx[2]" for the third global cue. The tool then seeds the sound as the mix seeds that cue and returns the seed it used. Levels are floored at -120 dBFS, so a silent sound reads -120 and raises sound_silent.

Typical agent flow: get_samples → get_samples { id } → inspect requirements and customize media/copy → get_template_schema → validate_template (iterate until valid) → render_frames (look at the result; check safe zones with safe) → compose_video → read the returned outputPath. Author a fresh descriptor from the schema when no sample fits.

render_frames renders through a per-section cache under /.section-cache, so a second look after a small edit re-encodes only the sections that changed. It runs in the render worker under the same media-dir checks, slot cap, timeout and cancellation as compose_video, writes PNGs to /frames- /, and inlines at most eight images (the sheets when sheet is set). Moments are seconds or time references on the whole video: "intro.end" (a section or an element id), "50%", "beat:8", "cue:drop + 0.1". validate_template with include: ["timeline"] lists the moments worth picking.

validate_template also reports, render-free, text that would run off the frame or out of title-safe, collide with other text, sit under a band, be too small, lack contrast, or sit over footage with no box, outline or shadow. Those findings arrive on the optional geometry field — one line each, saying what to change, and the field is absent entirely when there is nothing to fix. They are advisory: valid stays true. A line ending (approx: …) says why it is an estimate: the font could not be read, the text carries a {{ variable }} that only resolves at render time, or a section declares no duration. When a font is not bundled, the server fetches it from the LeClap asset catalog (5s timeout); offline, it estimates.

Pass render: true to validate_template to also render the sections that hold text and measure their contrast from real pixels — it settles text over images, grades and looks that the render-free check can only call unknown. It costs seconds (two renders of those sections), goes through the same media-dir sandbox as compose_video, reads assets from the media dir, and runs in the same forked render worker under the same timeout. It adds a render field (measured, seconds, and unavailable when it could not render — no FFmpeg with drawtext, a failed render, or a timeout); the render-free findings come back either way.

Discover samples before authoring

get_samples is always available, even with Remotion disabled. It reads packaged data only: no media downloads, effect execution or repository access. Without id it lists, filtered by optional category (templates, typography, effects, app-demos, overlays, evidence), backend (native, remotion) and case-insensitive query (up to 4000 characters). With id (1–200 characters) it returns that sample.

{ "name": "get_samples", "arguments": { "category": "app-demos", "backend": "native" } }
{ "name": "get_samples", "arguments": { "id": "web-app-promo" } }

Results include identical JSON in text and structuredContent; with id, the descriptor sits at template alongside its metadata. Unknown IDs return isError with a discovery hint. Required inputs include named clips and durations/capture hints, form fields and limits, variables/defaults/placeholders, assets, effective preset font files (source: "preset") and versioned effects. Replace the sample copy, supply clips by userVideoPaths and form values by fields, customize global.variables, then pass template to validate_template and compose_video. Referenced partials are embedded in the descriptor.

The 25 native samples use FFmpeg; the 10 registered effect samples require --allow-remotion, Remotion peers and a trusted --remotion-entry. Effects with customCatalog: true also require the operator's --effect-catalog and the matching composition in that entry. Sample discovery does not enable execution, install a catalog or supply React source. Inspect requirements.setup and, after operator setup, get_effect_schema before editing effect props. See operator catalogs.

Pr

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