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Format Conversion

CSV to Markdown

Convert CSV data to Markdown table format

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Quick start

Call this tool from your code in three languages.

cURL
curl -X POST 'https://api.elysiatools.com/en/api/tools/csv-to-markdown' \
  -H 'Content-Type: application/json' \
  -d '{"csvInput":"Enter your CSV data here...","delimiter":",","hasHeader":true,"includeTableBorders":true,"addTitle":false}'

API reference

Send a POST request with your inputs as JSON. File parameters require a separate upload first.

Endpoint

HTTP
POST https://api.elysiatools.com/en/api/tools/csv-to-markdown

Parameters

NameTypeRequiredDescription
csvInputtextareaYes—
delimiterselectNo—
hasHeadercheckboxNo—
includeTableBorderscheckboxNo—
addTitlecheckboxNo—

Response format

MCP integration

Add this tool to your Model Context Protocol server so AI agents can list and call it.

Server configuration

Add this block to your MCP client configuration:

mcp.json
{
  "mcpServers": {
    "elysiatools-csv-to-markdown": {
      "name": "csv-to-markdown",
      "description": "Convert CSV data to Markdown table format",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=csv-to-markdown",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

List available tools

After connecting to the SSE endpoint, list the exposed tools:

tools/list
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list"
}

Call this tool

Invoke the tool by its id, passing arguments built from its parameters:

tools/call
{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "csv-to-markdown",
    "arguments": {
  "csvInput": "Enter your CSV data here...",
  "delimiter": ",",
  "hasHeader": true,
  "includeTableBorders": true,
  "addTitle": false
}
  }
}
Chain multiple tools in one session with a comma-separated toolId list, e.g. /mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp (max 20).

Questions or issues? Contact [email protected]

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Text result

JSON
{
  "result": "Processed text content",
  "error": "Error message (optional)",
  "message": "Notification message (optional)",
  "metadata": {
    "key": "value"
  }
}