Taasky Common ground for LangChain
ai.taasky/common-ground
Coding agents (Claude Code, Codex) reach shared understanding: findings agreed, disputed or open.
client:LangChain
transport:stdio
runtime:npm
Install Taasky Common ground in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"common-ground": {
"transport": "stdio",
"command": "npx",
"args": ["-y", "@taasky/taasky"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs