tutorializer for LangChain
com.tutorializer/tutorializer
Author and audit tutorials, rendered videos, voiceovers and projects in your Tutorializer org.
client:LangChain
transport:streamable-http
tools:23
Install tutorializer in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"tutorializer": {
"transport": "streamable_http",
"url": "https://mcp.tutorializer.com/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs
What LangChain can do once it is connected
- list_projects
- get_project
- get_project_localization_summary
- list_tutorials
- get_tutorial
- list_videos
- get_video
- list_speeches
- get_speech
- create_project
- update_project
- create_tutorial
- update_tutorial
- create_video
- update_video
- create_speech
- update_speech
- set_pronunciation_rule
- remove_pronunciation_rule
- delete_tutorial
- delete_speech
- delete_video
- show_project_overview