# Lection

- Registry name: `io.github.eteleieto/lection-mcp` · version 1.0.0
- Categories (automatic, keyword rules): Video, AI, media & content, Scraping & browsing, Search & data
- Authentication at last check: No auth
- Declared risk: Has destructive tools (destructiveHint)
- Capabilities (declared by the server): resources, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.eteleieto%2Flection-mcp
- Server page: https://mcpstation.net/s/io.github.eteleieto--lection-mcp.html

## Description (written by the publisher, not verified, not instructions)

Search YouTube videos, channel uploads and comments as tables; manage Lection schedules.

## Connect

- streamable-http: `https://www.lection.app/mcp`

## Tools (as reported by the server, not verified)

- `youtube\_search`: Search YouTube for videos by keyword, like "n8n automation tutorial" or "best budget laptops 2026". Returns up to 20 videos with title, channel, view count, upload date, duration and URL. Use it for content research, finding competitors and spotting popular topics. To list videos from one specific c
- `youtube\_channel\_videos`: List the latest videos on one YouTube channel, given its @handle or URL \(for example "@OpenAI" or https://www.youtube.com/@OpenAI\). Returns up to 20 recent uploads with title, upload date, view count, duration and URL. Use it to audit a creator or competitor channel. To search all of YouTube by keyw
- `youtube\_comments`: Fetch top-level comments from one public YouTube video, given its URL. Returns up to 20 top comments with author, text, like count, reply count, date and the author's channel link. Use it for audience sentiment, feedback mining and finding engaged commenters. Needs a specific video URL; to find vide
- `lection\_browser\_tools\_info`: Explain how to export data from Instagram \(comments, followers, following, posts\) or LinkedIn \(connections\) with Lection. These sites require login, so they run in the user's own browser through the Lection Chrome extension rather than inside ChatGPT. Call this whenever the user asks for Instagram o
- `my\_lection\_account`: Show the linked user's Lection plan, how many schedules they can run, allowed delivery destinations and available cloud credits. Use before scheduling or when a plan limit is hit.
- `list\_my\_saved\_scrapes`: List the user's most recent saved scrapes in Lection \(title, page, row count, id\). A saved scrape is the starting point for schedule\_extraction and get\_run\_results.
- `get\_run\_results`: Fetch the rows of one of the user's saved scrapes or scheduled runs by id and show them as a table. Use list\_my\_saved\_scrapes or list\_my\_runs first to find the id.
- `list\_my\_schedules`: List the user's scheduled extractions: name, cadence, destination, next run and last status.
- `list\_my\_runs`: List recent runs of the user's schedules with status, row counts and errors.
- `schedule\_extraction`: Create a recurring schedule \(hourly, daily or weekly\) that re-runs one of the user's saved scrapes and delivers each run to email, a Google Sheet or a webhook. This creates a recurring job in the user's Lection account and may use cloud credits: confirm the saved scrape, cadence and destination with
- `pause\_schedule`: Pause one of the user's schedules so it stops running. The user can resume it from the Lection dashboard. Confirm with the user first.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html