flask for LangChain
io.github.tryflask/flask
Video review for agents: upload renders, read time-coded feedback, iterate version by version.
client:LangChain
transport:streamable-http
tools:29
Install flask in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"flask": {
"transport": "streamable_http",
"url": "https://api.flask.do/api/mcp/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
- get_guide
- contents
- feedback_list
- feedback_get
- wait_for_feedback
- feedback_post
- feedback_update
- get_annotated_frames
- get_frame
- asset_status
- version_download
- permission_get
- search
- recent_activity
- tags
- tag_create
- members
- upload_video
- upload_file_start
- upload_file_complete
- feedback_stats
- folder_create
- items_update
- versions_add