ContextBridge for LangChain
io.github.thundereagle/context-bridge
MCP memory server for AI coding assistants. Windows Service, ONNX embeddings, SQLite vector search.
client:LangChain
transport:stdio
runtime:nuget
Install ContextBridge in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"context-bridge": {
"transport": "stdio",
"command": "dnx",
"args": ["ThunderEagle.ContextBridge", "--yes"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs