我对MCP的理解

async def process_query(self, query: str) -> str:    """Process a query using Claude and available tools"""    messages = [        {            "role": "user",            "content": query        }    ]    response = await self.session.list_tools()    available_tools = [{        "name": tool.name,        "description": tool.description,        "input_schema": tool.inputSchema    } for tool in response.tools]    # Initial Claude API call    response = self.anthropic.messages.create(        model="claude-3-5-sonnet-20241022",        max_tokens=1000,        messages=messages,        tools=available_tools    )    # Process response and handle tool calls    final_text = []    assistant_message_content = []    for content in response.content:        if content.type == 'text':            final_text.append(content.text)            assistant_message_content.append(content)        elif content.type == 'tool_use':            tool_name = content.name            tool_args = content.input            # Execute tool call            result = await self.session.call_tool(tool_name, tool_args)            final_text.append(f"[Calling tool {tool_name} with args {tool_args}]")            assistant_message_content.append(content)            messages.append({                "role": "assistant",                "content": assistant_message_content            })            messages.append({                "role": "user",                "content": [                    {                        "type": "tool_result",                        "tool_use_id": content.id,                        "content": result.content                    }                ]            })            # Get next response from Claude            response = self.anthropic.messages.create(                model="claude-3-5-sonnet-20241022",                max_tokens=1000,                messages=messages,                tools=available_tools            )            final_text.append(response.content[0].text)    return "\n".join(final_text)