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mcp/harbor
LangChain

deadends.dev for LangChain

dev.deadends/deadends-dev

Structured failure knowledge for AI agents — dead ends, workarounds, error chains

client:LangChain transport:streamable-http runtime:pypi

Install deadends.dev in LangChain

pip install langchain-mcp-adapters 

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "deadends-dev": {
            "transport": "streamable_http",
            "url": "https://deadends.dev/mcp",
        }
})

tools = await client.get_tools()

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

deadends.dev in other clients

deadends.dev MCP server