Format Conversion
将 Markdown 管道表格转换为 CSV、JSON 行或推断类型的 JSON Schema，并报告对齐和空值诊断
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/markdown-table-to-csv-json-schema' \
-H 'Content-Type: application/json' \
-d '{"markdownInput":"| sku | quantity | active | shipped |\n| --- | ---: | :---: | --- |\n| A-1 | 12 | true | 2026-08-05 |\n| A-2 | 0 | false | 2026-08-06 |","outputFormat":"csv","delimiter":",","hasHeader":true,"nullTokens":"null,NULL,~","requiredMode":"non-null"}'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/markdown-table-to-csv-json-schema| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| markdownInput | textarea | 是 | — |
| outputFormat | select | 否 | — |
| delimiter | select | 否 | — |
| hasHeader | checkbox | 否 | — |
| nullTokens | text | 否 | — |
| requiredMode | select |
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-markdown-table-to-csv-json-schema": {
"name": "markdown-table-to-csv-json-schema",
"description": "将 Markdown 管道表格转换为 CSV、JSON 行或推断类型的 JSON Schema，并报告对齐和空值诊断",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=markdown-table-to-csv-json-schema",
"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": "markdown-table-to-csv-json-schema",
"arguments": {
"markdownInput": "| sku | quantity | active | shipped |\n| --- | ---: | :---: | --- |\n| A-1 | 12 | true | 2026-08-05 |\n| A-2 | 0 | false | 2026-08-06 |",
"outputFormat": "csv",
"delimiter": ",",
"hasHeader": true,
"nullTokens": "null,NULL,~",
"requiredMode": "non-null"
}
}
}有问题或反馈？请联系 [email protected]
| 否 |
| — |
文本结果
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}