A dynamic MCP server management service that creates, runs, and manages Model Context Protocol (MCP) servers dynamically. This service itself functions as an MCP server and launches/manages other MCP servers as child processes, enabling a flexible MCP ecosystem.

...

1. If you have PRO account, you can directly add as hosted MCP connector (https://jobswithgpt.com/mcp)
2. If you have a free account, you can add a proxy to the hosted MCP.

• Claude Desktop Free (installed)
• Node.js ≥ 18 (for npx)

Locate (or create) the Claude Desktop config file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

Insert this JSON:

{
  "mcpServers": {
    "jobswithgpt": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://jobswithgpt.com/mcp"
      ]
    }
  }
}

Quit Claude Desktop completely and reopen it.

Your new server jobswithgpt should appear in the paperclip menu under Tools.

OpenAI can directly use the server hosted MCP server (https://jobswithgpt.com/mcp)

import asyncio
from agents import Agent, Runner
from agents.mcp.server import MCPServerStreamableHttp
import json

MCP_URL = "https://jobswithgpt.com/mcp"  # your FastMCP streamable HTTP endpoint

async def main():
    async with MCPServerStreamableHttp(params={"url": MCP_URL}, name="jobswithgpt") as server:
        agent = Agent(
            name="jobs-mcp-local",
            mcp_servers=[server],
            instructions=(
                "Use the MCP server tools. First call location_autocomplete to get a geonameid "
                "for 'Seattle', then call search_jobs with keywords=['python'] and that geonameid."
            ),
        )
        res = await Runner.run(agent, "Find machine learning jobs in san francisco.")
        print(res.final_output)

if __name__ == "__main__":
    asyncio.run(main())

Here are some Python developer job opportunities in San Francisco:

1. Software Engineer - Backend, Product Engineering at Baton
   [Apply here](https://job-boards.greenhouse.io/baton/jobs/4011483007)

2. Senior Backend Engineer at Stellic
   [Apply here](https://job-boards.greenhouse.io/stellic/jobs/4705805007)

3. Software Engineer - Backend at Julius AI
   [Apply here](https://jobs.ashbyhq.com/julius/75f8ef44-4fa4-46fa-b416-c7b697078eca)
etc

This repository also ships a small uv-managed Python CLI that chats with the hosted MCP server to search for jobs directly from your terminal.

• Python 3.11+
• uv

uv sync  # creates a virtual environment in .venv and installs httpx

uv run jobs-mcp

The CLI:

• opens an MCP session against https://jobswithgpt.com/mcp
• talks to the location_autocomplete and search_jobs tools
• remembers your previous session so you can issue multiple job searches in one run

While running you can type:

• natural language queries such as python jobs in Seattle
• schema to print the MCP tool descriptions
• quit / exit to leave

Use uv run jobs-mcp --help to see optional flags (custom endpoint, number of location suggestions, etc.).