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jobswithgpt

JobsWithGPT MCP Server

MCP Server

AI-powered job search via conversational agents

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Updated 15 days ago

About

The JobsWithGPT MCP server exposes a streamable HTTP endpoint that lets AI agents query job listings, perform location autocomplete, and retrieve relevant positions. It integrates seamlessly with Claude Desktop and OpenAI agents for dynamic job search.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

jobswithgpt MCP Demo

Overview

The jobswithgpt MCP server addresses a common pain point for developers who want to embed real‑world job search functionality into AI assistants: the lack of a simple, unified interface for querying multiple job boards and geolocation services. By exposing a set of well‑defined tools—such as and —the server lets an AI agent discover, filter, and present job listings without the need for custom web‑scraping or API integration logic.

For developers, this means a drop‑in replacement for the tedious process of stitching together disparate job APIs. The MCP server bundles all necessary endpoints behind a single, streamable HTTP interface that Claude Desktop and other AI clients can consume. Once the server is registered in a client’s configuration, it appears as a tool under the paperclip menu or can be accessed programmatically via OpenAI’s SDK. The integration is straightforward: the agent calls to resolve a city name into a geoname ID, then feeds that ID and keyword filters into , receiving a structured list of opportunities. This workflow can be embedded in conversational agents, productivity bots, or even internal tooling to surface up‑to‑date hiring information.

Key capabilities include:

  • Location resolution: Convert free‑form city names into machine‑readable identifiers, enabling precise filtering across global job boards.
  • Keyword search: Accepts an array of terms to narrow results, supporting specialized queries such as “machine learning” or “Python backend”.
  • Unified result format: Returns a consistent JSON structure that includes job titles, companies, locations, and application links.
  • Real‑time streaming: Leveraging FastMCP’s streamable HTTP, agents can receive partial results as they are fetched, improving responsiveness in conversational contexts.

Typical use cases span from career‑advisory chatbots that recommend nearby roles, to internal HR tools that surface openings matching skill sets, or even automated resume‑matching pipelines that cross‑reference candidate profiles with current listings. Because the server is hosted, developers can bypass local setup or maintenance overhead; for those with free Claude Desktop accounts, a lightweight proxy command bridges the gap to the hosted endpoint.

In summary, jobswithgpt offers a ready‑made, extensible bridge between AI assistants and the job market, turning raw data into actionable insights with minimal integration effort.