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

vid2context

by nirholasversion 0.1.1i★ 3iRuns on your computer
Registry nameio.github.nirholas/vid2context

How to install

What it does

Turn any video into context for AI agents: transcripts, metadata, chapters, timestamps.

  • Connects Runs on your computer
  • Account or key No key needed
  • Category Design, images & audio

Use together with

Skills that teach the AI this kind of work; they work alongside this one

impeccable

The design vocabulary for your coding agent. Steer with polish and bolder, review with critique and audit, catch AI slop before it ships.

by pbakaus★ 110,6901 skills

Skill · How-to guide

diagram-design

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.

by cathrynlavery★ 67,3711 skills

Skill · How-to guide

frontend-slides

Create beautiful slides on the web using a coding agent's frontend skills

by zarazhangrui★ 32,3581 skills

Skill · How-to guide

Why it ranks here

Lists are ordered by a usage score (out of 100) built from these parts

Popularity7/80GitHub stars or weekly downloads: the larger counts 60, the smaller 20
Freshness12/12Full marks for a release or code change within 30 days
Still answering0/8The cloud endpoint answered at the last check
Usage score19/100

Quality: Passed 3/3 basic checks (shown, not used for ordering) · Momentum: No data yet (Used only on the Trending tab)

Install

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

Let AI install it

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.

  1. Install Node.js (if you don’t have it)

    Already installed? Check first · Open Terminal, type this command and press Enter

    node -v
    • A version number such as v26.13.1 = installed, skip this step
    • "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
    How to open Terminal

    Mac: 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

  2. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  3. Paste these settings and save the file

    {
      "mcpServers": {
        "vid2context": {
          "command": "npx",
          "args": [
            "-y",
            "vid2context-mcp"
          ]
        }
      }
    }
  4. Quit Claude and open it again

  5. Try it

    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

5 optional setting(s) (works without them)

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 LLMs
  • GEMINI_API_KEY Optional. Google AI Studio free tier LLMs
  • OPENAI_API_KEY Optional. OpenAI, used last and only when set
  • OLLAMA_BASE_URL Optional. Local Ollama server, for example http://localhost:11434/v1
  • LOCAL_STT_BASE_URL Optional. Local OpenAI-compatible speech-to-text server, for example http://localhost:8000/v1

Descriptions 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

What you can do instead

A · Use an app that can connect vid2context

  • Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
  • Install Node.js on your computer first (one time)
  • Install Node.js on your computer first (one time)
  • Install Node.js on your computer first (one time)

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)

Let AI install it

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.

  1. Install Node.js (if you don’t have it)

    Already installed? Check first · Open Terminal, type this command and press Enter

    node -v
    • A version number such as v26.13.1 = installed, skip this step
    • "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
    How to open Terminal

    Mac: 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

  2. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  3. Paste this command and press Enter

    claude mcp add --scope user vid2context -- npx -y vid2context-mcp
  4. Type /mcp in Claude Code

    You should see vid2context listed as connected

  5. Try it

    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

5 optional setting(s) (works without them)

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 LLMs
  • GEMINI_API_KEY Optional. Google AI Studio free tier LLMs
  • OPENAI_API_KEY Optional. OpenAI, used last and only when set
  • OLLAMA_BASE_URL Optional. Local Ollama server, for example http://localhost:11434/v1
  • LOCAL_STT_BASE_URL Optional. Local OpenAI-compatible speech-to-text server, for example http://localhost:8000/v1

Descriptions 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)

Let AI install it

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.

  1. Install Node.js (if you don’t have it)

    Already installed? Check first · Open Terminal, type this command and press Enter

    node -v
    • A version number such as v26.13.1 = installed, skip this step
    • "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
    How to open Terminal

    Mac: 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

  2. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  3. Open the AI chat in Cursor in Agent mode

  4. Try it

    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

5 optional setting(s) (works without them)

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 LLMs
  • GEMINI_API_KEY Optional. Google AI Studio free tier LLMs
  • OPENAI_API_KEY Optional. OpenAI, used last and only when set
  • OLLAMA_BASE_URL Optional. Local Ollama server, for example http://localhost:11434/v1
  • LOCAL_STT_BASE_URL Optional. Local OpenAI-compatible speech-to-text server, for example http://localhost:8000/v1

Descriptions 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)

Let AI install it

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.

  1. Install Node.js (if you don’t have it)

    Already installed? Check first · Open Terminal, type this command and press Enter

    node -v
    • A version number such as v26.13.1 = installed, skip this step
    • "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
    How to open Terminal

    Mac: 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

  2. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  3. Open the AI chat in VS Code in Agent mode

  4. Try it

    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

5 optional setting(s) (works without them)

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 LLMs
  • GEMINI_API_KEY Optional. Google AI Studio free tier LLMs
  • OPENAI_API_KEY Optional. OpenAI, used last and only when set
  • OLLAMA_BASE_URL Optional. Local Ollama server, for example http://localhost:11434/v1
  • LOCAL_STT_BASE_URL Optional. Local OpenAI-compatible speech-to-text server, for example http://localhost:8000/v1

Descriptions 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

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use vid2context💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user vid2context -- npx -y vid2context-mcp

Claude 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"
      ]
    }
  }
}

Values you fill in

  • GROQ_API_KEY secret env
    Optional. Groq free tier: fast Whisper speech-to-text and LLMs
  • GEMINI_API_KEY secret env
    Optional. Google AI Studio free tier LLMs
  • OPENAI_API_KEY secret env
    Optional. OpenAI, used last and only when set
  • OLLAMA_BASE_URL env
    Optional. Local Ollama server, for example http://localhost:11434/v1
  • LOCAL_STT_BASE_URL env
    Optional. Local OpenAI-compatible speech-to-text server, for example http://localhost:8000/v1

Descriptions are as written by the maker.

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

At a glance

Downloads per weeki
Not on npm/PyPI
Licencei
Apache-2.0
Connection
Runs on your computer
Latest versioni
0.1.1
Published to registryi
Nov 15, 2026
Code last changedi
Nov 15, 2026
Maker
nirholas
Packages
npm: vid2context-mcp
Registry status
Active

Which apps can use it

Based 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

All apps, with pros and cons →

Related guides

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 16, 2026

  • ✓ Pass

    Maker matches the repo

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

  • ✓ Pass

    Still maintained

    Code last changed yesterday

  • ✓ Pass

    Has a licence

    Uses Apache-2.0

  • – 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

Published vulnerabilities (OSV.dev)

No entries on OSV.dev for vid2context-mcp@0.1.1

Checks only this package version, not every dependency · checked Nov 15, 2026

What we check → · JSON

Makers: ask for a re-check or report wrong info
For makers: add a badge to your README

If you made this, paste this code into your README. The badge links back to this page.

[![Featured on PopNx MCP](https://mcp.popnx.com/badge/nirholas-vid2context.svg)](https://mcp.popnx.com/en/servers/nirholas-vid2context)

Discussion

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.

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User reviews

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Compared with others in Design, images & audioi

  • More stars than 88% of the other 3115 servers in this category
  • Published to the registry more recently than 96% of the other 3115 servers in this category
  • Basic checks equal to or better than 100% of the other 3115 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 vid2context safe?

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.

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 yesterday, and the latest version (0.1.1) reached the registry yesterday.

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: Pascal 3D Editor, Figma MCP Server, Remocn: Remotion MCP server, Harness, ChatCut

Similar alternatives

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

Pascal 3D Editor

Create, inspect, validate, and save editable 3D building scenes with Pascal's MCP server.

by pascalorgWidely used↓ 1K/wk★ 25.5K Stars for the whole repoUpdated 3 days ago

Computer or cloud✓ service owner · pascal.app

Figma 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.

by figmaWidely used★ 2.2KUpdated 13 months ago

Runs in the cloud✓ service owner · mcp.figma.com

Remocn: Remotion MCP server

Hosted MCP for Remotion videos: search Remocn components, read docs, plan a video, preview it.

by RemocnGrowing★ 1.7KUpdated 6 days ago

Runs in the cloud✓ service owner · remocn.dev

Harness

Start Claude Code and Codex agents the person can watch, wait for them and read their answers.

by autonomous-aiGrowing↓ 109/wk★ 1.5KUpdated 28 days ago

Runs on your computer✓ harness.autonomous.ai

ChatCut

AI video editor for agents: cut footage, add captions and motion graphics, export editable edits.

by ChatCut-IncGrowing★ 1KUpdated 17 days ago

Runs in the cloud✓ service owner · chatcut.io
Compared with similar ones
This one
vid2context
Pascal 3D EditorFigma MCP ServerRemocn: Remotion MCP serverHarnessChatCut
Runs whereInstalls on your computerCloud or install on your computerRuns in the cloud, nothing to installRuns in the cloud, nothing to installInstalls on your computerRuns in the cloud, nothing to install
Needs a keyNoNoNoNoNoNo
Add with + in ClaudeNoNoYesNoNoNo
Basic checks3/35/54/44/43/34/4
LicenseApache-2.0MIT–MITMITApache-2.0
PriceNo cost listed in the registryNo cost listed in the registryNo cost listed in the registryNo cost listed in the registryNo cost listed in the registryNo cost listed in the registry

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.

vid2context

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

Why

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.

How it works

For every input, vid2context resolves the source, fetches metadata and chapters, then walks a fallback chain until it has a transcript:

  1. Creator-uploaded captions
  2. Platform auto-captions
  3. Download the audio and run speech-to-text
  4. Video model mode, where a multimodal model watches the video so on-screen text, slides and code are captured too (planned)

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

TierMeaningExample
localYour machine, free and privateOllama, LM Studio, speaches
freeHosted free tier, your own keyGroq, Cerebras, Gemini AI Studio
keylessHosted, no account neededOVH AI Endpoints, Pollinations
paidLast backstop, only with a keyOpenAI

Status

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.

AreaWhat you get
SourcesYouTube (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-textLocal whisper.cpp and Transformers.js (offline), any OpenAI-compatible server, Groq, Mistral, DeepInfra, Together, Cloudflare Workers AI, OVH (keyless), OpenAI
LLMsOllama, 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
Outputtext, JSON, Markdown with timestamp links, SRT, VTT, the context pack, and a .zip bundle with all of them
IntelligenceCited 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
LibraryCollections fed from playlists, channels and feeds, keyword and vector search, on SQLite, Postgres with pgvector, or Cloudflare D1 and R2
SurfacesCLI, 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
DeployDocker, 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.

Quick start (zero keys)

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.

CLI

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).

Use it from your agent

The MCP server is the npm package vid2context-mcp, listed in the MCP Registry as io.github.nirholas/vid2context. It needs no keys.

Claude Code
claude mcp add --scope user --transport stdio vid2context -- npx -y vid2context-mcp
Codex, Gemini CLI
codex mcp add vid2context -- npx -y vid2context-mcp

gemini extensions install https://github.com/nirholas/vid2context

Claude Desktop, Cursor, Windsurf, Cline and other clients
{

"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 source

From the repo root:

claude mcp add vid2context -- "$PWD/node_modules/.bin/tsx" "$PWD/packages/mcp/src/bin.ts"
Tools

Ask your agent something like "get the transcript of https://youtu.be/jNQXAC9IVRw and summarize it with timestamps". The server exposes 28 tools:

GroupTools
One videoget_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 videoslist_items (expand a playlist, channel, feed or page), research_videos, export_context_pack, find_duplicates, digest_videos
Librarycreate_collection, add_to_collection, get_collection, list_collections, search_transcript
Answersask (Q&A with timestamp citations), build_brief (cited brief across videos), extract (buyer guide, tutorial steps, comparison or your own JSON Schema)
Live and exportwatch_live (transcribe a live stream as it runs), open_transcript_viewer (interactive viewer in MCP Apps clients), export_obsidian, export_notion
Setuplist_models

It also ships the prompts brief, buyer_guide and digest, and resources for saved videos, transcripts and collections (collections are

Only the beginning is shown; read the rest in the repo