gemini code context mcp for LangChain
io.github.qmediat/gemini-code-context-mcp
Gemini 2M context cache for Claude Code — persistent; repeat queries ~8x faster, ~4x cheaper.
client:LangChain
transport:stdio
runtime:npm
Install gemini code context mcp in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"gemini-code-context-mcp": {
"transport": "stdio",
"command": "npx",
"args": ["-y", "@qmediat.io/gemini-code-context-mcp"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs