Text Processing
Compare resume text against a job description, normalize keyword variants, and highlight coverage gaps
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/resume-job-description-matcher' \
-H 'Content-Type: application/json' \
-d '{"resumeText":"Skills: ReactJS, TypeScript, GraphQL","jobDescriptionText":"Need React.js, TypeScript, AWS, testing, and GraphQL experience","useAiSemanticMatch":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/resume-job-description-matcher| Name | Type | Required | Description |
|---|---|---|---|
| resumeText | textarea | Yes | — |
| jobDescriptionText | textarea | Yes | — |
| useAiSemanticMatch | checkbox | No | — |
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-resume-job-description-matcher": {
"name": "resume-job-description-matcher",
"description": "Compare resume text against a job description, normalize keyword variants, and highlight coverage gaps",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=resume-job-description-matcher",
"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": "resume-job-description-matcher",
"arguments": {
"resumeText": "Skills: ReactJS, TypeScript, GraphQL",
"jobDescriptionText": "Need React.js, TypeScript, AWS, testing, and GraphQL experience",
"useAiSemanticMatch": true
}
}
}Questions or issues? Contact [email protected]