Development
Comprehensive SEO analysis and optimization recommendations for websites
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/seo-optimization' \
-H 'Content-Type: application/json' \
-d '{"url":"https://example.com","includeOnPage":true,"includeTechnical":true,"includeContent":true,"includeRecommendations":true,"includeCompetitor":false}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/seo-optimization| Name | Type | Required | Description |
|---|---|---|---|
| url | text | Yes | — |
| includeOnPage | checkbox | No | — |
| includeTechnical | checkbox | No | — |
| includeContent | checkbox | No | — |
| includeRecommendations | checkbox | No | — |
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-seo-optimization": {
"name": "seo-optimization",
"description": "Comprehensive SEO analysis and optimization recommendations for websites",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=seo-optimization",
"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": "seo-optimization",
"arguments": {
"url": "https://example.com",
"includeOnPage": true,
"includeTechnical": true,
"includeContent": true,
"includeRecommendations": true,
"includeCompetitor": false
}
}
}Questions or issues? Contact [email protected]
| includeCompetitor |
| checkbox |
| No |
| — |
Text result
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}