mcp auth
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@@ -37,31 +37,41 @@ backend_tools = [
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# your_tool_here
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]
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# Initialize MCP client
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mcp_client = MultiServerMCPClient(
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{
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"cavepedia": {
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"transport": "streamable_http",
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"url": "https://mcp.caving.dev/mcp",
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"timeout": 10.0,
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def get_mcp_client(access_token: str = None):
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"""Create MCP client with optional authentication headers."""
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headers = {}
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if access_token:
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headers["Authorization"] = f"Bearer {access_token}"
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return MultiServerMCPClient(
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{
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"cavepedia": {
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"transport": "streamable_http",
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"url": "https://mcp.caving.dev/mcp",
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"timeout": 10.0,
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"headers": headers,
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}
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}
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}
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)
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)
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# Global variable to hold loaded MCP tools
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_mcp_tools = None
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# Cache for MCP tools per access token
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_mcp_tools_cache = {}
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async def get_mcp_tools():
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"""Lazy load MCP tools on first access."""
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global _mcp_tools
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if _mcp_tools is None:
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async def get_mcp_tools(access_token: str = None):
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"""Lazy load MCP tools with authentication."""
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cache_key = access_token or "default"
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if cache_key not in _mcp_tools_cache:
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try:
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_mcp_tools = await mcp_client.get_tools()
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print(f"Loaded {len(_mcp_tools)} tools from MCP server")
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mcp_client = get_mcp_client(access_token)
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tools = await mcp_client.get_tools()
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_mcp_tools_cache[cache_key] = tools
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print(f"Loaded {len(tools)} tools from MCP server with auth: {bool(access_token)}")
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except Exception as e:
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print(f"Warning: Failed to load MCP tools: {e}")
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_mcp_tools = []
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return _mcp_tools
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_mcp_tools_cache[cache_key] = []
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return _mcp_tools_cache[cache_key]
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async def chat_node(state: AgentState, config: RunnableConfig) -> dict:
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@@ -76,11 +86,18 @@ async def chat_node(state: AgentState, config: RunnableConfig) -> dict:
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https://www.perplexity.ai/search/react-agents-NcXLQhreS0WDzpVaS4m9Cg
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"""
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# 0. Extract Auth0 access token from config
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configurable = config.get("configurable", {})
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access_token = configurable.get("auth0_access_token")
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user_roles = configurable.get("auth0_user_roles", [])
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print(f"Chat node invoked with auth token: {bool(access_token)}, roles: {user_roles}")
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# 1. Define the model
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model = ChatAnthropic(model="claude-sonnet-4-5-20250929")
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# 1.5 Load MCP tools from the cavepedia server
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mcp_tools = await get_mcp_tools()
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# 1.5 Load MCP tools from the cavepedia server with authentication
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mcp_tools = await get_mcp_tools(access_token)
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# 2. Bind the tools to the model
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model_with_tools = model.bind_tools(
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@@ -98,7 +115,7 @@ async def chat_node(state: AgentState, config: RunnableConfig) -> dict:
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# 3. Define the system message by which the chat model will be run
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system_message = SystemMessage(
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content="You are a helpful assistant with access to cave-related information through the Cavepedia MCP server. You can help users find information about caves, caving techniques, and related topics."
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content=f"You are a helpful assistant with access to cave-related information through the Cavepedia MCP server. You can help users find information about caves, caving techniques, and related topics. User roles: {', '.join(user_roles) if user_roles else 'none'}"
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)
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# 4. Run the model to generate a response
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@@ -114,17 +131,21 @@ async def chat_node(state: AgentState, config: RunnableConfig) -> dict:
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return {"messages": [response]}
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async def tool_node_wrapper(state: AgentState) -> dict:
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async def tool_node_wrapper(state: AgentState, config: RunnableConfig) -> dict:
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"""
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Custom tool node that handles both backend tools and MCP tools.
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"""
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# Load MCP tools and combine with backend tools
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mcp_tools = await get_mcp_tools()
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# Extract Auth0 access token from config
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configurable = config.get("configurable", {})
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access_token = configurable.get("auth0_access_token")
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# Load MCP tools with authentication and combine with backend tools
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mcp_tools = await get_mcp_tools(access_token)
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all_tools = [*backend_tools, *mcp_tools]
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# Use the standard ToolNode with all tools
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node = ToolNode(tools=all_tools)
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result = await node.ainvoke(state)
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result = await node.ainvoke(state, config)
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return result
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