Vectr for LangChain
io.github.swapnanil/vectr
Semantic codebase search + persistent working memory for AI code editors. Local, no API key.
client:LangChain
transport:stdio
runtime:pypi
Install Vectr in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"vectr": {
"transport": "stdio",
"command": "uvx",
"args": ["vectr"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs