impeccable
The design vocabulary for your coding agent. Steer with polish and bolder, review with critique and audit, catch AI slop before it ships.
Turn any video into context for AI agents: transcripts, metadata, chapters, timestamps.
Skills that teach the AI this kind of work; they work alongside this one
The design vocabulary for your coding agent. Steer with polish and bolder, review with critique and audit, catch AI slop before it ships.
Editorial diagram design for Claude Code, Codex, GitHub Copilot, Cursor, Factory Droid, Qoder, and Pi. 45 diagram types. Self-contained HTML + SVG. No shadows. No Mermaid slop.
Create beautiful slides on the web using a coding agent's frontend skills
Lists are ordered by a usage score (out of 100) built from these parts
| Popularity | 7/80 | GitHub stars or weekly downloads: the larger counts 60, the smaller 20 |
|---|---|---|
| Freshness | 12/12 | Full marks for a release or code change within 30 days |
| Still answering | 0/8 | The cloud endpoint answered at the last check |
| Usage score | 19/100 |
Quality: Passed 3/3 basic checks (shown, not used for ordering) · Momentum: No data yet (Used only on the Trending tab)
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 15, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Copy this message into a Claude chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.
Please install the MCP server vid2context for Claude on this computer, in this order: 1) Check Node.js with node -v. If it is missing, tell me to install it from https://nodejs.org/en/download; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "mcpServers": { "vid2context": { "command": "npx", "args": [ "-y", "vid2context-mcp" ] } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the vid2context tools really show up.This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.
Already installed? Check first · Open Terminal, type this command and press Enter
node -vMac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: Open the official download page, pick the LTS version and the click-through installer: .pkg on Mac · .msi on Windows. Double-click and follow it to the end. No curl command needed
Open the Node.js download page ↗
When it’s done, close Terminal, open it again and run the same command. You should see a version number: node -v
Install once; it works for everything that needs Node.js
SettingsDeveloperEdit Config
{
"mcpServers": {
"vid2context": {
"command": "npx",
"args": [
"-y",
"vid2context-mcp"
]
}
}
}Use vid2context and tell me what you can do for me, then show me one thing✓ If Claude says it is using vid2context or shows a vid2context tool in the answer, you are connected
The command above works without these. Add them only if you want to change something, following the maker’s description.
GROQ_API_KEY Optional. Groq free tier: fast Whisper speech-to-text and LLMsGEMINI_API_KEY Optional. Google AI Studio free tier LLMsOPENAI_API_KEY Optional. OpenAI, used last and only when setOLLAMA_BASE_URL Optional. Local Ollama server, for example http://localhost:11434/v1LOCAL_STT_BASE_URL Optional. Local OpenAI-compatible speech-to-text server, for example http://localhost:8000/v1Descriptions are as written by the maker.
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect vid2context yet
vid2context runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect vid2context
B · Others in Design, images & audio that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Works with Claude Code, with some setup first
Install Node.js on your computer first (one time)
Copy this message into a Claude Code chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.
Please install the MCP server vid2context for Claude Code on this computer, in this order: 1) Check Node.js with node -v. If it is missing, tell me to install it from https://nodejs.org/en/download; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): claude mcp add --scope user vid2context -- npx -y vid2context-mcp 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the vid2context tools really show up.This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.
Already installed? Check first · Open Terminal, type this command and press Enter
node -vMac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: Open the official download page, pick the LTS version and the click-through installer: .pkg on Mac · .msi on Windows. Double-click and follow it to the end. No curl command needed
Open the Node.js download page ↗
When it’s done, close Terminal, open it again and run the same command. You should see a version number: node -v
Install once; it works for everything that needs Node.js
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --scope user vid2context -- npx -y vid2context-mcpYou should see vid2context listed as connected
Use vid2context and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using vid2context or shows a vid2context tool in the answer, you are connected
The command above works without these. Add them only if you want to change something, following the maker’s description.
GROQ_API_KEY Optional. Groq free tier: fast Whisper speech-to-text and LLMsGEMINI_API_KEY Optional. Google AI Studio free tier LLMsOPENAI_API_KEY Optional. OpenAI, used last and only when setOLLAMA_BASE_URL Optional. Local Ollama server, for example http://localhost:11434/v1LOCAL_STT_BASE_URL Optional. Local OpenAI-compatible speech-to-text server, for example http://localhost:8000/v1Descriptions are as written by the maker.
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Node.js on your computer first (one time)
Copy this message into a Cursor chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.
Please install the MCP server vid2context for Cursor on this computer, in this order: 1) Check Node.js with node -v. If it is missing, tell me to install it from https://nodejs.org/en/download; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "mcpServers": { "vid2context": { "command": "npx", "args": [ "-y", "vid2context-mcp" ] } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the vid2context tools really show up.This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.
Already installed? Check first · Open Terminal, type this command and press Enter
node -vMac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: Open the official download page, pick the LTS version and the click-through installer: .pkg on Mac · .msi on Windows. Double-click and follow it to the end. No curl command needed
Open the Node.js download page ↗
When it’s done, close Terminal, open it again and run the same command. You should see a version number: node -v
Install once; it works for everything that needs Node.js
Use vid2context and tell me what you can do for me, then show me one thing✓ If Cursor says it is using vid2context or shows a vid2context tool in the answer, you are connected
The command above works without these. Add them only if you want to change something, following the maker’s description.
GROQ_API_KEY Optional. Groq free tier: fast Whisper speech-to-text and LLMsGEMINI_API_KEY Optional. Google AI Studio free tier LLMsOPENAI_API_KEY Optional. OpenAI, used last and only when setOLLAMA_BASE_URL Optional. Local Ollama server, for example http://localhost:11434/v1LOCAL_STT_BASE_URL Optional. Local OpenAI-compatible speech-to-text server, for example http://localhost:8000/v1Descriptions are as written by the maker.
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Node.js on your computer first (one time)
Copy this message into a VS Code chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.
Please install the MCP server vid2context for VS Code on this computer, in this order: 1) Check Node.js with node -v. If it is missing, tell me to install it from https://nodejs.org/en/download; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "servers": { "vid2context": { "type": "stdio", "command": "npx", "args": [ "-y", "vid2context-mcp" ] } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) No key is needed. 5) Do what we agreed, then check that the vid2context tools really show up.This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.
Already installed? Check first · Open Terminal, type this command and press Enter
node -vMac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: Open the official download page, pick the LTS version and the click-through installer: .pkg on Mac · .msi on Windows. Double-click and follow it to the end. No curl command needed
Open the Node.js download page ↗
When it’s done, close Terminal, open it again and run the same command. You should see a version number: node -v
Install once; it works for everything that needs Node.js
Use vid2context and tell me what you can do for me, then show me one thing✓ If VS Code says it is using vid2context or shows a vid2context tool in the answer, you are connected
The command above works without these. Add them only if you want to change something, following the maker’s description.
GROQ_API_KEY Optional. Groq free tier: fast Whisper speech-to-text and LLMsGEMINI_API_KEY Optional. Google AI Studio free tier LLMsOPENAI_API_KEY Optional. OpenAI, used last and only when setOLLAMA_BASE_URL Optional. Local Ollama server, for example http://localhost:11434/v1LOCAL_STT_BASE_URL Optional. Local OpenAI-compatible speech-to-text server, for example http://localhost:8000/v1Descriptions are as written by the maker.
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Claude Code
claude mcp add --scope user vid2context -- npx -y vid2context-mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"vid2context": {
"command": "npx",
"args": [
"-y",
"vid2context-mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"vid2context": {
"command": "npx",
"args": [
"-y",
"vid2context-mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"vid2context": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"vid2context-mcp"
]
}
}
}GROQ_API_KEY secret envGEMINI_API_KEY secret envOPENAI_API_KEY secret envOLLAMA_BASE_URL envLOCAL_STT_BASE_URL envDescriptions are as written by the maker.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
npm: vid2context-mcpBased on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
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 16, 2026
The registry name was verified with the GitHub account nirholas, which owns the repo
Code last changed yesterday
Uses Apache-2.0
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
No entries on OSV.dev for vid2context-mcp@0.1.1
Checks only this package version, not every dependency · checked Nov 15, 2026
If you made this, paste this code into your README. The badge links back to this page.
[](https://mcp.popnx.com/en/servers/nirholas-vid2context)Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
No posts yet. Be the first to ask or share.
Posts here are written by users, not the PopNx team.
No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed yesterday, and the latest version (0.1.1) reached the registry yesterday.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Pascal 3D Editor, Figma MCP Server, Remocn: Remotion MCP server, Harness, ChatCut
Same category, other makers, commands already checked. Official ones first, then by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Create, inspect, validate, and save editable 3D building scenes with Pascal's MCP server.
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.
Hosted MCP for Remotion videos: search Remocn components, read docs, plan a video, preview it.
Start Claude Code and Codex agents the person can watch, wait for them and read their answers.
AI video editor for agents: cut footage, add captions and motion graphics, export editable edits.
| This one vid2context | Pascal 3D Editor | Figma MCP Server | Remocn: Remotion MCP server | Harness | ChatCut | |
|---|---|---|---|---|---|---|
| Runs where | Installs on your computer | Cloud or install on your computer | Runs in the cloud, nothing to install | Runs in the cloud, nothing to install | Installs on your computer | Runs in the cloud, nothing to install |
| Needs a key | No | No | No | No | No | No |
| Add with + in Claude | No | No | Yes | No | No | No |
| Basic checks | 3/3 | 5/5 | 4/4 | 4/4 | 3/3 | 4/4 |
| License | Apache-2.0 | MIT | – | MIT | MIT | Apache-2.0 |
| Price | No cost listed in the registry | No cost listed in the registry | No cost listed in the registry | No cost listed in the registry | No cost listed in the registry | No cost listed in the registry |
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.
Turn any video into context for AI agents. An MCP server, CLI, HTTP API and library that gives Claude, ChatGPT, Cursor, VS Code Copilot and any other agent the transcript, metadata and chapters of a video, playlist, podcast or media file, with timestamps it can cite.
The web app on an 18 minute YouTube video: paste the link, then copy or download the transcript, captions, chapters or a context pack sized for an agent. Recorded live against the local API, shown at 2x speed. MP4 version.
Paste a video link or drop in a media file. vid2context returns the transcript, metadata and chapters in a form your agent can read and cite: plain text with [m:ss] timestamps, JSON, Markdown, SRT, VTT, or one Markdown context pack for many videos that you can upload to ChatGPT Projects, Claude Projects or a custom GPT.
It is free first. Local models run first, then hosted free tiers with your own key, then keyless hosts that need no account. Paid APIs are used last, and only when you set their key. With zero configuration it already works.
$ vid2context https://www.youtube.com/watch?v=jNQXAC9IVRw --timestamps
[0:01] All right, so here we are, in front of the elephants [0:05] the cool thing about these guys is that they have really... [0:07] really really long trunks [0:12] and that's cool
Research happens on video. A playlist explaining which used car to buy, a conference talk, a course, a podcast. Agents cannot watch any of it. vid2context turns those videos into text with timestamps, so an agent can absorb a whole series and answer "which model year should I buy?" while citing the episode and the moment that said so.
Design rule: raw transcripts are always kept. Summaries, briefs and extractions are an added layer, never a replacement.
For every input, vid2context resolves the source, fetches metadata and chapters, then walks a fallback chain until it has a transcript:
Each speech-to-text and LLM step runs through a rung chain. A rung is one provider, one model and one credential. Rungs are tried in tier order and the chain falls through on errors, rate limits and outages, with cooldowns so a failing rung is skipped for a while. Every attempt is recorded, so you can always see what was tried and why it succeeded or failed:
Attempts:
resolve ok youtube youtube:jNQXAC9IVRw metadata ok youtube captions ok youtube-captions creator-captions
| Tier | Meaning | Example |
|---|---|---|
| local | Your machine, free and private | Ollama, LM Studio, speaches |
| free | Hosted free tier, your own key | Groq, Cerebras, Gemini AI Studio |
| keyless | Hosted, no account needed | OVH AI Endpoints, Pollinations |
| paid | Last backstop, only with a key | OpenAI |
First release (0.1.0), on npm as vid2context-mcp and vid2context. Everything below is built and covered by tests that replay real recorded responses.
| Area | What you get |
|---|---|
| Sources | YouTube (videos, Shorts, playlists, channels, comments, no key), any of the 1,000+ sites yt-dlp supports, Bilibili, X (Twitter) posts, Vimeo, Loom and Wistia transcripts, direct media URLs, Google Drive, Dropbox and OneDrive share links, local files, and every video embedded in a web page |
| Speech-to-text | Local whisper.cpp and Transformers.js (offline), any OpenAI-compatible server, Groq, Mistral, DeepInfra, Together, Cloudflare Workers AI, OVH (keyless), OpenAI |
| LLMs | Ollama, LM Studio, llama.cpp, vLLM and other local servers, in-browser WebLLM, free tiers (Groq, Cerebras, Gemini, Mistral, GitHub Models, NVIDIA, SambaNova, OpenRouter :free), keyless hosts, native Anthropic, Gemini and Vertex |
| Output | text, JSON, Markdown with timestamp links, SRT, VTT, the context pack, and a .zip bundle with all of them |
| Intelligence | Cited briefs across videos, Q&A with timestamp citations, schema extraction templates, translation, auto-chapters, key moments, on-screen text and slides from video frames, duplicate and reupload detection, SponsorBlock segments |
| Library | Collections fed from playlists, channels and feeds, keyword and vector search, on SQLite, Postgres with pgvector, or Cloudflare D1 and R2 |
| Surfaces | CLI, stdio MCP server (28 tools), remote MCP over Streamable HTTP with OAuth for ChatGPT and Claude.ai, HTTP API with OpenAPI, web app, chat app, browser extension, Telegram, Discord and Slack bots, LangChain.js loader, n8n nodes, Obsidian and Notion export |
| Deploy | Docker, Cloud Run, Railway, Alibaba Cloud, Cloudflare Workers, Vercel, GitHub Pages (client only) |
Planned: video mode, where a multimodal model watches the whole video. The --mode video flag exists, but no provider implements it yet.
No install: open the web app at vid2context.com/app, paste a link and get every format as a file, a .zip, or text to paste into an agent. This is the real result for "Me at the zoo":
Then open it in chat and ask questions. Answers cite the moment in the video they came from, here using a free model with no key:
On your machine, it requires Node.js 22 or newer.
npx vid2context "https://www.youtube.com/watch?v=jNQXAC9IVRw" --timestamps
From source:
git clone https://github.com/nirholas/vid2context.git
cd vid2context npm install npm run cli -- "https://www.youtube.com/watch?v=jNQXAC9IVRw" --timestamps
A local audio or video file works too. With no keys set, it is transcribed by the keyless OVH Whisper rung:
npm run cli -- ./interview.mp3 --format json > interview.json
More in docs/examples: runnable examples for the library, CLI, HTTP API, MCP, LangChain and Python, each a file in examples/ whose output on the page is checked by the tests.
vid2context <input> [flags] same as `vid2context get <input>`
vid2context [args] [flags]
get Transcript and metadata for one video (the default command) list Expand a playlist, channel, feed or page into video refs pack One context pack (Markdown for an AI model) from one or many videos bundle A .zip with every format, the context pack and a README for agents search Keyword search over transcripts saved in the library library Saved video contexts collection Named groups of videos in the library models Every rung by tier, whether it is enabled, and the env vars it needs doctor Check Node, ffmpeg, yt-dlp, GPU, local servers, data directory, keys and network config Resolved settings and where each came from, secrets masked serve Start the HTTP API mcp Start the stdio MCP server formats, completion, help
Common flags: -f, --format text|json|markdown|srt|vtt|pack|ass|ttml|sbv|lrc|csv, -t, --timestamps, --mode auto|captions|stt|video, --lang , --policy free|local-only|quality, --only and --skip (rung ids or services), --json, -o, --out , --verbose. Run vid2context help for the rest. Full reference: docs/cli.md.
Program output goes to stdout and everything else to stderr, so vid2context URL > transcript.txt stays clean. On failure the CLI prints the error code, a hint on how to fix it, and every attempt that was made, and exits with a code per failure kind (3 unsupported input, 4 not found, 6 no transcript, 9 rate limited, 10 auth, and so on).
The MCP server is the npm package vid2context-mcp, listed in the MCP Registry as io.github.nirholas/vid2context. It needs no keys.
claude mcp add --scope user --transport stdio vid2context -- npx -y vid2context-mcp
codex mcp add vid2context -- npx -y vid2context-mcp
gemini extensions install https://github.com/nirholas/vid2context
{
"mcpServers": { "vid2context": { "command": "npx", "args": ["-y", "vid2context-mcp"] } } }
To pass a key, add "env": { "GROQ_API_KEY": "..." } to the entry. Agents setting this up for you can follow llms-install.md.
From the repo root:
claude mcp add vid2context -- "$PWD/node_modules/.bin/tsx" "$PWD/packages/mcp/src/bin.ts"
Ask your agent something like "get the transcript of https://youtu.be/jNQXAC9IVRw and summarize it with timestamps". The server exposes 28 tools:
| Group | Tools |
|---|---|
| One video | get_transcript, get_metadata, get_outline (chapters with token counts, start here for long videos), get_section, get_comments, get_key_moments, get_skip_segments, list_caption_languages, choose_caption_track, list_formats |
| Many videos | list_items (expand a playlist, channel, feed or page), research_videos, export_context_pack, find_duplicates, digest_videos |
| Library | create_collection, add_to_collection, get_collection, list_collections, search_transcript |
| Answers | ask (Q&A with timestamp citations), build_brief (cited brief across videos), extract (buyer guide, tutorial steps, comparison or your own JSON Schema) |
| Live and export | watch_live (transcribe a live stream as it runs), open_transcript_viewer (interactive viewer in MCP Apps clients), export_obsidian, export_notion |
| Setup | list_models |
It also ships the prompts brief, buyer_guide and digest, and resources for saved videos, transcripts and collections (collections are