远程 MCP 工具

import os
import requests

url = "https://api.x.ai/v1/responses"
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {os.getenv('XAI_API_KEY')}"
}
payload = {
    "model": "grok-4.7",
    "input": [
        {
            "role": "user",
            "content": "What can you do with https://github.com/xai-org/xai-sdk-python?"
        }
    ],
    "tools": [
        {
            "type": "mcp",
            "server_url": "https://mcp.deepwiki.com/mcp",
            "server_label": "deepwiki",
        }
    ]
}
response = requests.post(url, headers=headers, json=payload)
print(response.json())

curl https://api.x.ai/v1/responses \\
  -H "Content-Type: application/json" \\
  -H "Authorization: Bearer $XAI_API_KEY" \\
  -d '{
  "model": "grok-4.7",
  "input": [
    {
      "role": "user",
      "content": "What can you do with https://github.com/xai-org/xai-sdk-python?"
    }
  ],
  "tools": [
    {
        "type": "mcp",
        "server_url": "https://mcp.deepwiki.com/mcp",
        "server_label": "deepwiki"
    }
  ]
}'

import os

from xai_sdk import Client
from xai_sdk.chat import user
from xai_sdk.tools import mcp

client = Client(api_key=os.getenv("XAI_API_KEY"))
chat = client.chat.create(
    model="grok-4.7",
    tools=[
        mcp(server_url="https://mcp.deepwiki.com/mcp", server_label="deepwiki"),
    ],
    include=["verbose_streaming"],
)

chat.append(user("What can you do with https://github.com/xai-org/xai-sdk-python?"))

is_thinking = True
for response, chunk in chat.stream():
    # View the server-side tool calls as they are being made in real-time
    for tool_call in chunk.tool_calls:
        print(f"\\nCalling tool: {tool_call.function.name} with arguments: {tool_call.function.arguments}")
    if response.usage.reasoning_tokens and is_thinking:
        print(f"\\rThinking... ({response.usage.reasoning_tokens} tokens)", end="", flush=True)
    if chunk.content and is_thinking:
        print("\\n\\nFinal Response:")
        is_thinking = False
    if chunk.content and not is_thinking:
        print(chunk.content, end="", flush=True)

print("\\n\\nUsage:")
print(response.usage)
print(response.server_side_tool_usage)
print("\\n\\nServer Side Tool Calls:")
print(response.tool_calls)