Development
Extract and parse documentation from JavaScript/TypeScript, Python, and Java source code
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/docstring-extractor' \
-H 'Content-Type: application/json' \
-d '{"codeInput":"Paste your source code here to extract documentation...","languageHint":"auto","includeFullText":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/docstring-extractor| Name | Type | Required | Description |
|---|---|---|---|
| codeInput | textarea | Yes | — |
| languageHint | select | No | — |
| includeFullText | checkbox | No | Include complete original documentation comments |
JSON result
{
"key": {...},
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}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-docstring-extractor": {
"name": "docstring-extractor",
"description": "Extract and parse documentation from JavaScript/TypeScript, Python, and Java source code",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=docstring-extractor",
"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": "docstring-extractor",
"arguments": {
"codeInput": "Paste your source code here to extract documentation...",
"languageHint": "auto",
"includeFullText": true
}
}
}Questions or issues? Contact [email protected]