Invite-only.
Dock
Connect

LangGraph

LangGraph builds stateful multi-step agent graphs on top of LangChain primitives. Wire Dock in through langchain-mcp-adapters, the same package LangChain uses, and every graph node can call Dock tools.

Client
LangGraph
Stateful agent graphs. Uses the same MCP adapters as LangChain.
HTTP JSON-RPC (streamable-http)
Dock MCP
trydock.ai/api/mcp
37 tools · OAuth 2.1 + DCR · Bearer
Auth path
1
Mint a dk_ key in Dock Settings → API keys.
2
Paste it as Authorization: Bearer dk_… in the client config.
3
Client calls Dock MCP directly on every request.

Prerequisites

  • Python 3.10+.
  • langgraph and langchain-mcp-adapters installed.
  • A Dock dk_ key.
graph.pypython
import os
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_anthropic import ChatAnthropic

mcp = MultiServerMCPClient({
    "dock": {
        "url": "https://trydock.ai/api/mcp",
        "transport": "streamable_http",
        "headers": {
            "Authorization": f"Bearer {os.environ['DOCK_API_KEY']}"
        },
    }
})

tools = await mcp.get_tools()
agent = create_react_agent(ChatAnthropic(model="claude-opus-4-7"), tools)

result = await agent.ainvoke({
    "messages": [{"role": "user", "content": "List my Dock workspaces."}]
})

Troubleshooting

Symptom
Fix
Graph hangs on tool call
Ensure the MCP client session isn't closed before the graph runs. Scope the async-with to the full agent.ainvoke call.

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