Academic Research Intelligence MCP for LangChain
io.github.foundrynet/academic-intel-mcp
Academic paper search, scientific literature, citation analysis, arXiv & semantic related-work.
client:LangChain
transport:streamable-http
Install Academic Research Intelligence MCP in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"academic-intel-mcp": {
"transport": "streamable_http",
"url": "https://academic-intel-mcp-production.up.railway.app/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs