add_employee
Add new employee records to the database by providing name and age information. This tool enables AI assistants to create employee entries through the MCP Employee API Server.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| age | Yes |
Implementation Reference
- main.py:55-62 (handler)The @mcp.tool() decorated function implementing the 'add_employee' tool. It makes a POST request to the /employees endpoint with the provided name and age, returning the API response.@mcp.tool() async def add_employee(name: str, age: int) -> dict: url = f"{URL_BASE}/employees" response = await make_request(url, "POST", { "name": name, "age": age }) return response
- main.py:13-41 (helper)Helper function used by the add_employee tool (and others) to make HTTP requests to the backend API with error handling.async def make_request(url: str, method: str = "GET", json_data: dict = None) -> dict[str, Any] | None: """Make a request to the API with proper error handling for all HTTP methods.""" headers = { "User-Agent": USER_AGENT, "Accept": "application/json" } # Add Content-Type header for requests with JSON data if json_data is not None: headers["Content-Type"] = "application/json" async with httpx.AsyncClient() as client: try: if method.upper() == "GET": response = await client.get(url, headers=headers, timeout=30.0) elif method.upper() == "POST": response = await client.post(url, headers=headers, json=json_data, timeout=30.0) elif method.upper() == "PUT": response = await client.put(url, headers=headers, json=json_data, timeout=30.0) elif method.upper() == "DELETE": response = await client.delete(url, headers=headers, timeout=30.0) else: raise ValueError(f"Unsupported HTTP method: {method}") response.raise_for_status() return response.json() except Exception: return None