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mcp/harbor
LangChain

TalentLMS for LangChain

io.github.mindstone/mcp-server-talentlms

TalentLMS MCP server: users, courses, groups, branches, reporting, and assessments

client:LangChain transport:stdio runtime:npm

Install TalentLMS in LangChain

pip install langchain-mcp-adapters 

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "mcp-server-talentlms": {
            "transport": "stdio",
            "command": "npx",
            "args": ["-y", "@mindstone/mcp-server-talentlms"],
        }
})

tools = await client.get_tools()

get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs

TalentLMS in other clients

TalentLMS MCP server