How does it enable job search functionality in AI clients?

The server processes AI client requests, fetches live job data from MyCareersFuture, and returns structured JSON listings. It also provides output templates for rendering interactive widgets, such as a job carousel, in clients supporting the Apps SDK.

What kind of job information does it provide?

It delivers comprehensive job data in structured JSON format, including job titles, company names, salary hints, and other relevant metadata. All API calls are validated using Pydantic models for data integrity.

Is this tool easy for developers to integrate?

Yes, it's designed as an approachable proof-of-concept, featuring robust Pydantic validation for API calls and extensive logging for observability. This makes it an excellent and straightforward starting point for developers building their own AI integrations.

What is the MyCareersFuture MCP Server?

It's a Model Context Protocol (MCP) server that integrates the public MyCareersFuture job search API, allowing compatible AI clients like ChatGPT to access and display job listings.

MyCareersFuture

Name: MyCareersFuture
Author: gabrielchua

bygabrielchua

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Developer Tools

API Development

Integrates the MyCareersFuture job search API into a Model Context Protocol server, enabling job search functionality within compatible clients like ChatGPT.

This project provides a proof-of-concept Model Context Protocol (MCP) server designed to interface with the public MyCareersFuture (MCF) job search API. It demonstrates how job listings can be retrieved and dynamically rendered within AI conversational agents, such as ChatGPT, using the Apps SDK. The server accepts structured tool requests, validates them, and forwards them to the MCF API. It returns structured JSON describing job listings (titles, companies, salary hints, and metadata), along with an `_meta.openai/outputTemplate` pointer to a static widget bundle for interactive carousel rendering in compatible clients, serving as an approachable starting point for custom AI integrations.

Key Features

01Wraps the public MyCareersFuture (MCF) job search API

02Returns structured JSON job listings with comprehensive metadata

03Provides output templates for interactive widget rendering (e.g., job carousel) in AI clients

04Validates API calls using Pydantic models for data integrity

05Includes logging for observability and easy integration debugging

060 GitHub stars

Use Cases

01Integrate MyCareersFuture job search capabilities directly into ChatGPT and similar AI assistants

02Develop custom AI integrations leveraging the Apps SDK for dynamic, interactive UI experiences

03Explore and understand the implementation of a Model Context Protocol (MCP) server for API wrapping