corpus for LangChain
study.vela/corpus
Read-only MCP access to Vela's corpus of human experience: cited passages, coordinates, reading path
client:LangChain
transport:streamable-http
tools:10
Install corpus in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"corpus": {
"transport": "streamable_http",
"url": "https://vela.study/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs