# Lection

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

- name: io.github.eteleieto/lection-mcp
- version: 1.0.0
- connection class: R0 (autonomous)
- trust: 96/100
- quality: 89/100 (good)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/io.github.eteleieto%2Flection-mcp
- tools: https://api.protogrid.dev/v1/servers/io.github.eteleieto%2Flection-mcp/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "lection-mcp": {
      "type": "http",
      "url": "https://www.lection.app/mcp"
    }
  }
}
```


## Trust

- hygiene: 100
- liveness: 97
- freshness: 100
- provenance: 90
- drivers: +repository +namespace-matches-repo +website +reachable +uptime-93% +updated-8d-ago
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 89/100 (good)

### protocol: 75 (weight 25)

- warn `protocol.modern`: newest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
- n/a `protocol.stateless`: only applies to 2026-07-28 servers
- pass `protocol.transport`: streamable HTTP
- n/a `protocol.list_ttl`: only applies to 2026-07-28 servers

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 100 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- pass `tools.annotations`: 11 of 11 tools declare readOnlyHint or destructiveHint
- pass `tools.directory_hints`: every tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
- pass `tools.token_cost`: about 2,328 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: n/a (weight 15)

- n/a `stability.changes`, `stability.rug_pull`: tool history recorded for 6 of the 7 days needed

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 11, about 2,328 tokens to load them all
- tool set hash: 99f075461d19f8333a1a6c42594a5931
- badge: [![protogrid quality](https://protogrid.dev/badge/io.github.eteleieto/lection-mcp.svg)](https://protogrid.dev/servers/io.github.eteleieto/lection-mcp)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

_No tool definition changes recorded._

## Remotes

- https://www.lection.app/mcp (streamable-http, auth none, reachable true, uptime30d 0.9285714)

## Packages

_none_

## Tools (11)

- `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.
- `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.
- `list_my_runs`: List recent runs of the user's schedules with status, row counts and errors.
- `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.
- `list_my_schedules`: List the user's scheduled extractions: name, cadence, destination, next run and last status.
- `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_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.
- `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.
- `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.