personal brand mcp for LangChain
io.github.closermethod/personal-brand-mcp
Positioning framework, per-platform bio auditing, 4-pillar content system, growth-signal reads.
client:LangChain
transport:stdio
runtime:npm
Install personal brand mcp in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"personal-brand-mcp": {
"transport": "stdio",
"command": "npx",
"args": ["-y", "personal-brand-mcp"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs