Development
Convert a cURL command into a JavaScript fetch() code snippet with headers, body, and method
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/curl-to-js-fetch' \
-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}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/curl-to-js-fetch| Name | Type | Required | Description |
|---|---|---|---|
| curlCommand | textarea | Yes | — |
| prettyBody | checkbox | No | — |
| includeComments | checkbox | No | — |
Text result
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}Add this tool to your Model Context Protocol server so AI agents can list and call it.
Add this block to your MCP client configuration:
{
"mcpServers": {
"elysiatools-curl-to-js-fetch": {
"name": "curl-to-js-fetch",
"description": "Convert a cURL command into a JavaScript fetch() code snippet with headers, body, and method",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=curl-to-js-fetch",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}After connecting to the SSE endpoint, list the exposed tools:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}Invoke the tool by its id, passing arguments built from its parameters:
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "curl-to-js-fetch",
"arguments": {
"curlCommand": "curl -X POST https://api.example.com/users \\\n -H \"Content-Type: application/json\" \\\n -d '{\"name\":\"Alice\"}'",
"prettyBody": true,
"includeComments": true
}
}
}Questions or issues? Contact [email protected]