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Query employee data through MCP tools and demonstrate Pega AI agent integration.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Employee API MCP Server" yet — see the docs or source repo.
Use the get_employees tool to retrieve available employee data and return the key fields as a list.
Returns a list of employees with the employee information available in the system.
Use the get_employee_by_id tool to fetch the record for employee ID 123 and summarize the employee details.
Returns the details or lookup result for the specified employee ID.
In an AI agent workflow, call the employee lookup tools: first get the employee list, then fetch a specific employee by ID.
Demonstrates how an AI agent can use MCP tools to complete an employee data lookup workflow.
Developers can use this MCP server to add employee lookup capabilities to an AI agent. It is suitable for validating how an agent calls employee data tools for basic retrieval.
Teams can use it as a proof of concept to show how Pega applications work with AI agents to query employee information. The focus is on integration rather than advanced analytics.
This is an MCP server for querying employee data, with tools such as get_employees and get_employee_by_id. It is also described as a proof of concept for integrating Pega applications with AI agents.
Known capabilities include listing employees and retrieving a single employee by ID. For more details, see the source repository.
The provided material does not include installation steps, runtime requirements, or API key details. Please see the source repository for prerequisites.
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