Gumlet for LangChain
io.github.gumlet/mcp
Manage Gumlet video, live streams, analytics, and workspaces from an MCP client.
client:LangChain
transport:streamable-http
tools:95
Install Gumlet in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mcp": {
"transport": "streamable_http",
"url": "https://mcp.gumlet.com/mcp/v1",
}
})
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
- insights_breakdown_data
- insights_aggregated_data
- list_sdks
- get_sdk
- import_from_vimeo
- create_asset
- create_asset_direct_upload
- get_asset_details
- delete_asset
- update_asset
- thumbnail_select
- thumbnail_upload
- upload_subtitles
- complete_subtitle_upload
- asset_audio_upload
- complete_audio_upload
- create_update_chapter
- retrieve_analytics
- top_assets
- retrieve_part_url
- complete_multipart_upload
- list_profiles
- create_profile
- get_profile