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mcp/harbor
LangChain

agentrace for LangChain

io.github.ura-tools/agentrace

Structured observability for AI agents. Trace steps, decisions, and errors. MCP server + CLI viewer.

client:LangChain transport:stdio runtime:npm

Install agentrace in LangChain

pip install langchain-mcp-adapters 

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "agentrace": {
            "transport": "stdio",
            "command": "npx",
            "args": ["-y", "@ura-dev/agentrace"],
        }
})

tools = await client.get_tools()

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

agentrace in other clients

agentrace MCP server