vid2context for LangChain
io.github.nirholas/vid2context
Turn any video into context for AI agents: transcripts, metadata, chapters, timestamps.
client:LangChain
transport:stdio
runtime:npm
Install vid2context in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"vid2context": {
"transport": "stdio",
"command": "npx",
"args": ["-y", "vid2context-mcp"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs