Development
将 cURL 命令转换为 Python requests 代码片段，包含请求头、数据和请求方法
用三种语言从你的代码中调用此工具。
curl -X POST 'https://api.elysiatools.com/zh/api/tools/curl-to-python' \
-H 'Content-Type: application/json' \
-d '{"curlCommand":"curl -X POST https://api.example.com/users \\\n -H \"Content-Type: application/json\" \\\n -d '\''{\"name\":\"Alice\"}'\''","prettyBody":true,"includeComments":true}'以 JSON 形式 POST 提交输入参数。文件类型参数需先单独上传。
POST https://api.elysiatools.com/zh/api/tools/curl-to-python| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| curlCommand | textarea | 是 | — |
| prettyBody | checkbox | 否 | — |
| includeComments | checkbox | 否 | — |
文本结果
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}将此工具加入你的 Model Context Protocol 服务，让 AI 智能体可以列出并调用它。
将以下内容加入你的 MCP 客户端配置：
{
"mcpServers": {
"elysiatools-curl-to-python": {
"name": "curl-to-python",
"description": "将 cURL 命令转换为 Python requests 代码片段，包含请求头、数据和请求方法",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=curl-to-python",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}连接到 SSE 端点后，列出已开放的工具：
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}通过工具 id 调用，参数由其参数表构建：
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "curl-to-python",
"arguments": {
"curlCommand": "curl -X POST https://api.example.com/users \\\n -H \"Content-Type: application/json\" \\\n -d '{\"name\":\"Alice\"}'",
"prettyBody": true,
"includeComments": true
}
}
}有问题或反馈？请联系 [email protected]