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Lection MCP Server

by eteleieto Your server? Claim it
answering

Lection is answering right now. Last checked 6 min ago. It exposes 11 tools. Last commit 13 Oct 2026.

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

Uptime history 21 days of history · worst day 0%
21 days agonow
24.2%
Uptime 24h
22 of 91 checks
11
Tools
read from the server
261 ms
Response time
average over 24h
0
Stars
last commit 13 Oct 2026

Lection does not always answer

Over the last week it answered 8.1% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.

run in your terminal
claude mcp add lection-mcp --transport http https://www.lection.app/mcp
Settings → Connectors → Add custom connector, then paste this address
https://www.lection.app/mcp
~/.codex/config.toml
[mcp_servers.lection-mcp]
url = "https://www.lection.app/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "lection-mcp": {
      "url": "https://www.lection.app/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "lection-mcp": {
      "type": "http",
      "url": "https://www.lection.app/mcp"
    }
  }
}

Available tools 11

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

youtube
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 keyword use youtube_search.
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 videos first use youtube_search.
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 channel use youtube_channel_videos instead.
lection
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 or LinkedIn data; it returns the install link and the right tool page.
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.
pause
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.
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.
runs
list_my_runs
List recent runs of the user's schedules with status, row counts and errors.
saved
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.
schedule
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 the user before calling. Respects the user's plan limits and returns a clear message if one is reached.
schedules
list_my_schedules
List the user's scheduled extractions: name, cadence, destination, next run and last status.

Endpoints

URLTransportStateLatencyChecked
https://www.lection.app/mcp streamable-http answering 266 ms 6 min ago

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Lection — questions

Answers built from our own checks of this server.

What can Lection do?
It exposes 11 tools, read directly from the server on our last check. Among them: get_run_results, lection_browser_tools_info, list_my_runs, list_my_saved_scrapes, list_my_schedules, my_lection_account and 5 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is Lection mostly used for?
Its tools cluster around youtube and lection. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Lection working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 22 of 91 checks got a reply (24.2%), average response time 261 ms. The bar chart above shows every period we have measured.
How do I connect Lection?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Lection need an API key?
No. Lection completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 11 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Lection?
It answers our handshake in 261 ms on average, which is faster than 54% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Lection open source?
The code is open source: it is published under the MIT licence and 0 stars on GitHub. The licence covers the code in the repository, not the hosted service at lection.app, which runs on its operator's own terms.