Development
批量解析 URL 查询参数,输出键频率、值样本和编码异常检测
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/url-query-analyzer' \
-H 'Content-Type: application/json' \
-d '{"urls":"Enter URLs (one per line):\nhttps://example.com/page?utm_source=google&utm_medium=cpc&campaign=spring\nhttps://example.com/product?id=123&ref=affiliate","extractKeys":true,"extractValues":true,"detectEncoding":true,"aggregateStats":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/url-query-analyzer| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| urls | textarea | 是 | — |
| extractKeys | checkbox | 否 | — |
| extractValues | checkbox | 否 | — |
| detectEncoding | checkbox | 否 | — |
| aggregateStats | checkbox | 否 | — |
JSON 结果
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-url-query-analyzer": {
"name": "url-query-analyzer",
"description": "批量解析 URL 查询参数,输出键频率、值样本和编码异常检测",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=url-query-analyzer",
"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": "url-query-analyzer",
"arguments": {
"urls": "Enter URLs (one per line):\nhttps://example.com/page?utm_source=google&utm_medium=cpc&campaign=spring\nhttps://example.com/product?id=123&ref=affiliate",
"extractKeys": true,
"extractValues": true,
"detectEncoding": true,
"aggregateStats": true
}
}
}有问题或反馈?请联系 [email protected]
{
"key": {...},
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}