vid2context

Local install

io.github.nirholas/vid2contextv0.1.1 GitHub verified

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

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Registry entry

Open in the registry

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-11-14T18:38:09.425248Z",
      "publishedAt": "2026-11-14T18:38:09.425248Z",
      "statusChangedAt": "2026-11-14T18:38:09.425248Z"
    }
  },
  "server": {
    "name": "io.github.nirholas/vid2context",
    "icons": [
      {
        "src": "https://raw.githubusercontent.com/nirholas/vid2context/main/packages/discovery/assets/logo.png",
        "sizes": [
          "400x400"
        ],
        "mimeType": "image/png"
      }
    ],
    "title": "vid2context",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.1.1",
    "packages": [
      {
        "version": "0.1.1",
        "transport": {
          "type": "stdio"
        },
        "identifier": "vid2context-mcp",
        "registryType": "npm",
        "registryBaseUrl": "https://registry.npmjs.org",
        "environmentVariables": [
          {
            "name": "GROQ_API_KEY",
            "format": "string",
            "isSecret": true,
            "description": "Optional. Groq free tier: fast Whisper speech-to-text and LLMs"
          },
          {
            "name": "GEMINI_API_KEY",
            "format": "string",
            "isSecret": true,
            "description": "Optional. Google AI Studio free tier LLMs"
          },
          {
            "name": "OPENAI_API_KEY",
            "format": "string",
            "isSecret": true,
            "description": "Optional. OpenAI, used last and only when set"
          },
          {
            "name": "OLLAMA_BASE_URL",
            "format": "string",
            "description": "Optional. Local Ollama server, for example http://localhost:11434/v1"
          },
          {
            "name": "LOCAL_STT_BASE_URL",
            "format": "string",
            "description": "Optional. Local OpenAI-compatible speech-to-text server, for example http://localhost:8000/v1"
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/nirholas/vid2context",
      "source": "github"
    },
    "websiteUrl": "https://vid2context.com",
    "description": "Turn any video into context for AI agents: transcripts, metadata, chapters, timestamps."
  }
}

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Try it

This server only runs locally, from a package. Install it with the instructions on this page to try it.

Install

Pick your client. Values in capitals, like YOUR_TOKEN, are yours to fill in.

One click: Add to Cursor Add to VS Code Add to LM Studio Add to Goose

Run in a terminal

claude mcp add vid2context \
  -- npx -y [email protected]

Environment

GROQ_API_KEY (optional, not in the config above): Optional. Groq free tier: fast Whisper speech-to-text and LLMs
GEMINI_API_KEY (optional, not in the config above): Optional. Google AI Studio free tier LLMs
OPENAI_API_KEY (optional, not in the config above): Optional. OpenAI, used last and only when set
OLLAMA_BASE_URL (optional, not in the config above): Optional. Local Ollama server, for example http://localhost:11434/v1
LOCAL_STT_BASE_URL (optional, not in the config above): Optional. Local OpenAI-compatible speech-to-text server, for example http://localhost:8000/v1

Tools

We don't run packages, so we can't list this server's tools.