jobs-mcp
Provides live search of US software-engineering job openings from Greenhouse ATS boards, returning company, title, location, URL, and posted date, with US-only and clearance/citizenship filtering.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@jobs-mcpfind recent backend engineer jobs in Seattle"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
jobs-mcp
An MCP server that gives any LLM live access to US software-engineering job openings.
Point Claude (or any Model Context Protocol client) at this server and it can search current postings — pulled live from company ATS boards (Greenhouse / Lever / Ashby) and a community new-grad feed — right inside your conversation. US-only, security-clearance / citizenship-required roles filtered out, newest first. No API keys: every source is a public endpoint.
Claude ──calls──▶ jobs-mcp
• search_jobs(query, location, limit)
• list_sources()
└─▶ Greenhouse · Lever · Ashby · SimplifyJobs feed
└─▶ US-only · clearance/citizenship roles excluded · dedupedTools
Tool | What it does |
| Live search; |
| The ATS boards + community feed this server pulls from. |
Related MCP server: trackly-cli
Install & connect to Claude Code
git clone https://github.com/Ashishkosana/jobs-mcp && cd jobs-mcp
python3 -m venv .venv && .venv/bin/pip install -e .
# register it (stdio transport):
claude mcp add jobs -- "$(pwd)/.venv/bin/python" -m jobs_mcpThen just ask Claude things like "find me fresh backend software engineer roles in New York"
— it calls search_jobs and answers from live data.
Works with any MCP client (Claude Desktop, etc.) — point it at
python -m jobs_mcp over stdio.
How it works
An MCP server exposes tools a client can discover and call. Here each tool is a
plain Python function decorated with @server.tool(); its type hints become the input
schema the model sees. On a call, the server fetches every source concurrently (a dead
board is skipped, not fatal), applies the US + clearance filters, dedupes, and returns
structured rows. See src/jobs_mcp/server.py.
Scope / honesty
Sources are a curated company list + one community feed, not "every job on the internet" — LinkedIn/Indeed block scraping, so this uses public ATS APIs instead.
The clearance filter is lexical (keywords + known defense employers); it catches the common cases, not every phrasing.
License
MIT
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Tools
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