jd-intel

Stop pasting job descriptions into AI assistants. Let your AI fetch them directly.

Full text. Clean structure. Across seven major ATS. No copy-paste. No context loss.

Why this exists

Your AI assistant already knows a lot about you. Your resume is in its memory. Your target roles, your past projects, your background. Ready to help the moment you feed it a job description.

So you copy-paste.

A JD from one company. Another from the next. A half-dozen more from your target list. Half have broken HTML. Salary info dies in translation. Links get stripped. And for every role, the dance starts over.

You could wait for the job boards to ship their own MCPs. They'll get there eventually. On their timeline. Filtered through their priorities, not yours. Tied to their query abstractions.

jd-intel skips that wait. Raw JDs, fetched directly by your AI, on your terms. One level below the curated layer.

Try asking your AI:

"Find AI/ML engineering jobs posted this week." "What product designer roles are open at fintechs right now?" "Pull the staff PM roles posted in the last 7 days."

Done.

Related MCP server: YubHub MCP Server

Why not just scrape?

Because scraping breaks where jd-intel doesn't:

• Full JDs when browsing fails. SPA-rendered boards, slow loads, auth walls, and geo-restrictions block a browser. They don't block a public API call.

• Structured data, not HTML soup. Salary, location type, department, and clean markdown, normalized across seven ATS.

• No keys, no browser. Public APIs only. Runs anywhere your AI does.

• One schema, every platform. Greenhouse, Lever, Ashby, SmartRecruiters, Teamtailor, Recruitee, Workday return the same shape.

What you can do with it

• Look up open roles at any company directly from your AI, no copy-paste

• Tailor your resume across ten roles in one conversation

• Rank openings by fit with your background

• Scan a whole sector: "Pull open roles at fintech companies posted this week"

• Research teams by reading their JDs in bulk

The toolkit fetches. Your AI thinks.

Install

Works with MCP-aware AI clients: Claude Desktop, Claude Code, Cursor, Windsurf, VS Code. ChatGPT, Gemini, and other non-MCP clients don't support this yet. They use different tool-calling systems. (We wish they did. The protocol works the same way regardless of which AI you talk to.)

Claude Desktop (one-file install, no terminal)

The simplest path. No Node.js, no terminal: Claude Desktop runs the server on its own bundled runtime.

1. Download the extension: jd-intel.mcpb.

2. In Claude Desktop, open Settings, then Extensions, then Advanced settings, and click Install Extension. Pick the file you downloaded.

3. Review the access summary, click Install, then start a new chat. The tools appear automatically.

Shortcuts: drag the .mcpb onto the Settings window, or double-click it when your system opens .mcpb files with Claude Desktop. The extension is open source and unsigned, so Claude Desktop shows an "unverified" notice. Choose Install Anyway.

Prefer the terminal, or on an older Claude Desktop? Install Node.js 18+, run npx jd-intel-mcp install, then reopen Claude Desktop. Or edit the config file directly, see Manual install.

Other clients (Claude Code, Cursor, Windsurf, VS Code)

One-file .mcpb install is a Claude Desktop feature; these clients run the same server via npx and need Node.js 18+.

Claude Code

claude mcp add jd-intel -- npx -y jd-intel-mcp

Cursor (Settings, then Tools & MCP, then New MCP Server, or edit ~/.cursor/mcp.json):

{
  "mcpServers": {
    "jd-intel": { "command": "npx", "args": ["-y", "jd-intel-mcp"] }
  }
}

Windsurf (Settings, then Tools, then Windsurf Settings, then Add Server, or View Raw Config to edit mcp_config.json). Use the same mcpServers block as Cursor, then press refresh.

VS Code (Copilot agent mode): run the MCP: Add Server command, or create .vscode/mcp.json. The key is servers and the type is stdio:

{
  "servers": {
    "jd-intel": { "type": "stdio", "command": "npx", "args": ["-y", "jd-intel-mcp"] }
  }
}

Confirm it's working

Start a new chat and ask: "What fintech companies are in your jd-intel registry?" If it lists companies, you're set. Then try the real thing: "Find senior PM roles open right now that I'd be a fit for."

Tools not appearing?

• Fully quit and reopen the client (quit, do not just close the window). Claude Desktop: system tray then Quit (Windows), or ⌘Q (macOS).

• For npx clients (Claude Code, Cursor, Windsurf, VS Code), run npx clear-npx-cache, then restart.

• Confirm node --version is 18 or newer for the npx paths. The one-click .mcpb does not need Node.

For developers

npm install jd-intel

import { fetchJobs } from 'jd-intel';

const jobs = await fetchJobs({
  company: '<your-target-company>',
  titleFilter: 'designer',
  postedWithinDays: 14,
  limit: 50,
});

CLI usage: npx jd-intel fetch <company-slug> --title-filter "engineer" --posted-within-days 14. Full filter reference below.

Node.js 18+. No API keys. No configuration.

Manual install (fallback)

If npx jd-intel-mcp install fails, edit the config directly.

Config file location:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

• Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "jd-intel": {
      "command": "npx",
      "args": ["-y", "jd-intel-mcp"]
    }
  }
}

Restart Claude Desktop.

Updating

• Claude Desktop extension (.mcpb): install a newer .mcpb over the current one, or manage it in Settings, then Extensions. Remove and reinstall to reset.

• npx clients (Claude Code, Cursor, Windsurf, VS Code): npx -y jd-intel-mcp picks up new versions from npm's cache (within ~24h). Force it now with npx clear-npx-cache, then restart the client.

• Library or CLI: npm install jd-intel@latest (force latest) or npm update jd-intel (respect semver).

The company registry refreshes on its own: jd-intel fetches the current list at startup and falls back to the bundled copy offline, so new companies show up without reinstalling.

MCP tools

Plus one Resource: registry://jd-intel/all. Full company registry, grouped by ATS. Fetched lazily for broad catalog surveys.

What you get back

Every job normalizes to one schema, across every platform:

{
  "id": "a1b2c3d4e5f6",
  "company": "Example Co",
  "title": "Senior Software Engineer, Platform",
  "department": "Engineering",
  "location": "Remote - US",
  "locationType": "remote",
  "salary": { "min": 180000, "max": 240000, "currency": "USD" },
  "description": "Design and build the API surface our customers integrate against...",
  "url": "https://boards.example.com/jobs/12345",
  "postedAt": "2026-04-10T14:30:00Z"
}

No custom parsing per company.

Data model

Platforms supported

Adding a new ATS is a single adapter file. See Contributing.

Filters (quick reference)

All filters AND together. Deep dive on patterns and gotchas: docs/filters.md.

Roadmap

Shipped

• Library, CLI, and MCP server (three surfaces of one toolkit)

• Greenhouse, Ashby, Lever, SmartRecruiters, Teamtailor, Recruitee, Workday adapters

• Title, topic, location, and date filters

• Salary extraction from JD text

• Verified company registry (300+ companies)

Next

• Personio adapter (German / EU mid-market)

• Workable adapter (widget API; broad SMB coverage)

• Anthropic MCP marketplace submission

Planned

• Temporal tracking (when roles open, close, reopen)

• Change detection

• Resume-aware fit scoring

Contributing

Add a company to the registry: submit a PR to the appropriate file in registry/.

Add an ATS adapter: new file in src/adapters/. One adapter, one file. Follow the pattern of the existing adapters.

Request a company: open an issue. Tell me who's missing.

Built by

Prashant R. PM who builds. I try out and build what really matters below the AI hype.

• Portfolio and writing: prashantrana.xyz

• LinkedIn

License

MIT