MCP · 11 platforms

Your AI can now read video

Name: Video Intelligence MCP
Author: Video Intelligence MCP

Video Intelligence MCP — remote MCP endpoint for transcripts, raw subtitles, metadata, chapters, and playlist jobs from public video platforms.

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structuredContent

1{
2  "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
3  "title": "Rick Astley - Never Gonna Give You Up (Official Video) (4K Remaster)",
4  "uploader": "Rick Astley",
5  "duration_sec": 213,
6  "tools": [
7    "get_video_info",
8    "get_transcript"
9  ],
10  "transcript_preview": "♪ We're no strangers to love ♪ ♪ You know the rules and so do I ♪ ♪ A full commitment's what I'm thinking of ♪ ♪ You wou…"
11}

Use cases

For developers, agencies, content, and analysts

One MCP endpoint — different prompt-driven workflows.

MCP-native workflow in minutes

Remote MCP — paste a URL, no REST glue code
Pagination for large transcripts out of the box
7 typed tools with structuredContent for automations

Developers prompt

1"Use Video Intelligence MCP.
2First call get_video_info with the URL.
3Then call get_transcript in English.
4Return structured summary plus timestamps."

Research and competitive intel from video

Batch playlist transcripts for client deliverables
Extract quotes with timestamps for reports
Multi-platform — not just YouTube
Team workspaces — planned post-launch

Agencies prompt

1"Analyze this YouTube playlist.
2Return:
31) 10 main themes
42) recurring claims
53) quotes with timestamps
64) a table: video → theme → key takeaways"

Repurpose video into text assets

Transcript → blog posts, newsletters, social clips
Chapters for outlines and timestamps
Raw subtitles for precise quoting
Multi-language subtitle discovery

Content prompt

1"Convert this video transcript into:
2- 5 tweet hooks with timestamps
3- A blog outline with H2 sections
4- Key quotes for LinkedIn"

Due diligence and fact extraction

Structured metadata: uploader, views, upload date
Entity and claim extraction via agent prompts
Playlist-level pattern analysis
Public content only — no private media access

Analysts prompt

1"Extract all named entities, financial claims, and forward-looking statements from this earnings call video. Include timestamps for each claim."

Capabilities

Transcript, metadata, chapters — via MCP

7 typed tools with structuredContent for agent workflows.

Transcript & raw subtitles
Cleaned text or SRT/VTT; multi-language; Whisper fallback when subtitles are missing.
11 platforms
YouTube, X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion, Reddit.
Metadata & chapters
Title, channel, tags, thumbnails, duration, chapter markers — structuredContent for agents.
Playlist batch
get_playlist_transcripts for bulk context extraction from playlists.
Pagination
Safe pagination for large transcripts via response_limit and next_cursor.
Text and metadata only
Text and metadata only — no media file downloads.

Coverage

11 platforms · 7 MCP tools

Synced with transcriptor-mcp — URL-based tools work on all platforms; search_videos is YouTube only.

Platforms

Tutorial → study notes

Paste a course URL; your agent summarizes chapters and pulls key quotes with approximate timestamps.

get_video_chapters
get_transcript
get_video_info

MCP tools

Transcript without timestamps or HTML — ready context for LLMs.
Example
usage
1Call get_transcript for https://youtube.com/watch?v=…, lang "en". 2Return a 5-bullet summary of the main points.
Source subtitles with timestamps; safe for long videos.
Example
usage
1{ "url": "https://youtube.com/watch?v=…", "format": "srt", "response_limit": 1000 }
Discover available tracks before choosing type/lang.
Example
usage
1get_available_subtitles for the URL → list tracks. 2Pick official "en" if available, else auto-generated.
Title, channel, tags, thumbnails, viewCount, and more via yt-dlp JSON.
Example
usage
1{ "url": "https://youtube.com/watch?v=…" } 2→ title, uploader, duration_sec, tags

Video structure for navigation and summarization.

Example

usage

1get_video_chapters + get_transcript for the URL.
2Convert chapters into a blog outline with H2 per chapter.

Process playlist URLs in a single tool call.
Example
usage
1get_playlist_transcripts for a playlist URL. 2Output a table: video title | theme | 3 bullet takeaways.
Search YouTube — the only platform-specific tool.
YouTube only
Example
usage
1{ "query": "react hooks tutorial", "limit": 5 } 2→ pick the best match, then get_transcript

Time to value

Three steps to video context

From MCP connection to structuredContent — no REST glue code.

01
Connect MCP
Claude custom connector, Cursor, or remote MCP URL — join early access.
02
Paste a URL
Any public URL from 11 supported platforms — or a YouTube video ID.
03
Receive structuredContent
Transcript, raw subtitles, metadata, chapters — typed JSON for your agent.

Works with

Remote MCP access: join the early access waitlist.

Claude Desktop

Settings → Connectors → Add custom connector. Paste your HTTPS MCP URL (include /mcp). Anthropic connects from its cloud — the server must be public on the internet (localhost won't work).

Open Settings → Connectors → Add custom connector
Enter name and URL (e.g. https://your-mcp-endpoint.example.com/mcp)
Complete OAuth if prompted; enable the connector in chat (+ → Connectors)

Endpoint URL

mcp config

1https://your-mcp-endpoint.example.com/mcp

Cursor

Cursor Settings → Features → Model Context Protocol, or edit `~/.cursor/mcp.json` / `.cursor/mcp.json`. Add transcriptor with your remote MCP URL.

Open Cursor Settings → Features → Model Context Protocol
Edit global mcp.json or create `.cursor/mcp.json` in your project
Set the transcriptor server URL to your remote MCP endpoint
Restart Cursor — tools show up in Agent and Composer

Config

mcp config

1{
2  "mcpServers": {
3    "transcriptor": {
4      "url": "https://your-mcp-endpoint.example.com/mcp"
5    }
6  }
7}

Claude Code

From project root: `claude mcp add --transport http transcriptor https://your-mcp-endpoint.example.com/mcp`. Or add to `.mcp.json` (project) / `~/.claude.json` (user scope).

Run `claude mcp add --transport http transcriptor https://your-mcp-endpoint.example.com/mcp`
Confirm the server in `claude mcp list`
Use `/mcp` in session if OAuth is required

Config

mcp config

1{
2  "mcpServers": {
3    "transcriptor": {
4      "type": "http",
5      "url": "https://your-mcp-endpoint.example.com/mcp"
6    }
7  }
8}

ChatGPT

Settings → Apps → Advanced settings → enable Developer mode. Then Settings → Connectors → Create app and paste your public HTTPS URL (include /mcp). Supports SSE and streaming HTTP. Plus/Pro/Business/Edu on web; full write-capable MCP varies by plan.

Enable Developer mode (Settings → Apps → Advanced settings)
Create connector (Settings → Connectors → Create) with your /mcp URL
Enable the app in chat (+ → Developer mode) and test with a video URL

Endpoint URL

mcp config

1https://your-mcp-endpoint.example.com/mcp

OpenClaw

Add transcriptor under mcp.servers in ~/.openclaw/openclaw.json with transport streamable-http and your remote MCP URL.

Edit ~/.openclaw/openclaw.json and add the transcriptor server block
Restart the gateway if tools do not appear (openclaw gateway restart)
Verify with `openclaw mcp doctor transcriptor --probe` — get_transcript should be listed

Config

mcp config

1{
2  "mcp": {
3    "servers": {
4      "transcriptor": {
5        "url": "https://your-mcp-endpoint.example.com/mcp",
6        "transport": "streamable-http"
7      }
8    }
9  }
10}

n8n

Add an MCP Client Tool node as a sub-node of an AI Agent. Set Server URL to your endpoint (must include /mcp). Transport: HTTP Streamable. Wire tool output into downstream steps.

Add an AI Agent node, then attach an MCP Client Tool as its sub-node
Set Server URL to your transcriptor endpoint (include /mcp); transport HTTP Streamable
Wire tool outputs into downstream automation steps

Server URL

mcp config

1https://your-mcp-endpoint.example.com/mcp

Pricing

Free tools, pay for downloads

50 transcript/subtitle downloads per month on Free — join early access while Stripe billing is on the roadmap.

Free

$0/mo

Explore videos for free — pay only when you download a transcript or subtitle file.

50 transcript/subtitle downloads per month
Metadata, chapters, track listing, and search — free
11 platforms
No playlist batch (get_playlist_transcripts)

Indie

$9/mo

For solo developers shipping with Claude, Cursor, or ChatGPT — more downloads, same free tooling.

500 transcript/subtitle downloads per month
Metadata, chapters, track listing, and search — free
11 platforms - free
get_playlist_transcripts — batch playlist workflows

Billing applies only to transcript and subtitle downloads (get_transcript, get_raw_subtitles). Playlist batch starts on Indie. Launch limits are early-access guidance; Stripe checkout is on the roadmap.

View full pricing Join early access

FAQ

Frequently asked questions

Compatibility, downloads, public content, auth, and the deep research caveat.

Yes.

Yes, with caveats: public videos with available subtitles or Whisper fallback only. No access to private content, DRM, or paywalled media. Playlist batch (get_playlist_transcripts) starts on Indie.

No. Subtitle text and metadata via yt-dlp only. Media files are not saved to disk for the user.

Ask us for Whisper fallback support.

Only get_transcript and get_raw_subtitles count toward your monthly limit when they return transcript or subtitle text. Metadata, chapter lists, available subtitle tracks, and search stay free. get_playlist_transcripts is Indie only.

No. get_playlist_transcripts is available from Indie ($9/mo). On Free, use single-video tools per URL.

Join early access

Waitlist lead qualification. Remote MCP endpoint — join early access.

Your AI can now read video

MCP-native workflow in minutes

Research and competitive intel from video

Repurpose video into text assets

Due diligence and fact extraction

Transcript & raw subtitles

11 platforms

Metadata & chapters

Playlist batch

Pagination

Text and metadata only

Platforms

Tutorial → study notes

MCP tools

Connect MCP

Paste a URL

Receive structuredContent

Claude Desktop

Free

Indie