mcp 工具使用远程 MCP 服务器来执行任务。
模型上下文协议（MCP）是一个开放协议，旨在标准化应用程序向 LLMs 提供工具和上下文的方式。Responses API 中的 MCP 工具使开发者能够让模型访问托管在远程 MCP 服务器上的工具。这些 MCP 服务器由互联网上的开发者和组织维护，它们将这些工具开放给 MCP 客户端使用，例如 Responses API。以下是调用远程 MCP 的请求示例：
curl --location --request POST 'https://geekai.co/api/v1/responses' \
--header 'Authorization: Bearer {YOUR_GEEKAI_API_KEY}' \
--header 'Content-Type: application/json' \
--data-raw '{
"model": "gpt-5-mini",
"tools": [
{
"type": "mcp",
"server_label": "deepwiki",
"server_url": "https://mcp.deepwiki.com/mcp",
"require_approval": "never"
}
],
"input": "2025年3月26日版本的MCP规范支持哪些传输协议？"
}'
# 先安装 OpenAI SDK: `pip3 install openai`
from openai import OpenAI
client = OpenAI(api_key="$GEEKAI_API_KEY", base_url="https://geekai.co/api/v1")
response = client.responses.create(
model="gpt-5-mini",
input="2025年3月26日版本的MCP规范支持哪些传输协议？",
tools=[
{
"type": "mcp",
"server_label": "deepwiki",
"server_url": "https://mcp.deepwiki.com/mcp",
"require_approval": "never"
}
]
)
print(response)
// 先安装 OpenAI SDK: `npm install openai`
import OpenAI from "openai";
const openai = new OpenAI({
baseURL: 'https://geekai.co/api/v1',
apiKey: '$GEEKAI_API_KEY'
});
async function main() {
const response = await openai.responses.create({
model: "gpt-5-mini",
input: "2025年3月26日版本的MCP规范支持哪些传输协议？",
tools: [
{
type: "mcp",
server_label: "deepwiki",
server_url: "https://mcp.deepwiki.com/mcp",
require_approval: "never"
}
]
});
console.log(response);
}
main();
package main
import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
)
func main() {
requestBody := map[string]any{
"model": "gpt-5-mini",
"input": "2025年3月26日版本的MCP规范支持哪些传输协议?",
"tools": []any{
map[string]any{
"type": "mcp",
"server_label": "deepwiki",
"server_url": "https://mcp.deepwiki.com/mcp",
"require_approval": "never",
},
},
}
jsonData, err := json.Marshal(requestBody)
if err != nil {
panic(err)
}
client := &http.Client{}
req, err := http.NewRequest("POST", "https://geekai.co/api/v1/responses", bytes.NewBuffer(jsonData))
if err != nil {
panic(err)
}
req.Header.Set("Authorization", "Bearer $GEEKAI_API_KEY")
req.Header.Set("Content-Type", "application/json")
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
panic(err)
}
fmt.Println(string(body))
}