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2hr-jobs-mcp-server

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2hr-jobs-mcp-server

MCP server for Polish IT job board 2hr.pl — search IT jobs, salary data and market analytics via Model Context Protocol.

Python MCP FastMCP License Tools Claude Cursor

Built with FastMCP and Python 3.12. Works with Claude Desktop, Cursor, Windsurf, VS Code, and any MCP-compatible AI client.


What is MCP?

Model Context Protocol (MCP) is an open standard by Anthropic that allows AI models like Claude to securely call external APIs and databases in real time. Instead of pasting data manually into a chat, your AI agent fetches live data automatically.

This server connects Claude (or any MCP-compatible client) to the 2hr.pl job board — so you can ask:

  • "Find remote Python senior jobs above 20 000 PLN B2B"

  • "Is 18 000 PLN fair for a mid React developer in Warsaw?"

  • "Compare salaries: PHP vs Go for a senior in Poland"

  • "What skills do I need to become a DevOps engineer?"

  • "Which technologies are trending in Poland right now?"


Related MCP server: job-search-mcp

Tools

Tool

Description

search_jobs

Search IT jobs by keyword, city, salary range, experience level, contract type

find_remote_jobs

Remote-only positions, optional keyword and salary filter

find_jobs_in_city

Jobs in a specific Polish city (Warsaw, Krakow, Wroclaw, Gdansk, Poznan...)

get_latest_jobs

Newest job listings added to the board

Salary analysis

Tool

Description

get_salary_report

Full salary report for a technology: median, p25/p75/p90, B2B vs UoP, by city, trend

compare_salaries

Side-by-side salary comparison of two technologies

check_salary_fairness

Assess whether a job offer salary is fair vs current market data

Market analytics

Tool

Description

get_top_technologies

Technology ranking by active job count with monthly trend

compare_roles

Compare two IT roles: jobs count, salary, required skills, remote availability

get_market_trends

IT job market trends for 1m / 3m / 6m / 1y periods

get_required_skills

Must-have, nice-to-have, and differentiating skills for a role

get_top_employers

Companies with most active IT job listings, filterable by tech and city


Quick start

Prerequisites

  • Python 3.10+

  • Redis (for caching)

  • A jobs REST API backend (configure in .env)

Install

git clone https://github.com/your-username/2hr-jobs-mcp-server.git
cd 2hr-jobs-mcp-server

python3 -m venv venv
source venv/bin/activate       # Linux/macOS
# .\venv\Scripts\activate      # Windows

pip install -r requirements.txt

cp .env.example .env
# Edit .env — set JOBS_API_URL, JOBS_API_KEY, REDIS_URL

Run locally (stdio transport)

python server.py

Run as HTTP server

python server_http.py
# Starts on http://0.0.0.0:8765

Test with MCP Inspector

npx @modelcontextprotocol/inspector python server.py
# Opens http://localhost:5173 — call any tool interactively

Claude Desktop integration

Edit the Claude Desktop config file:

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

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

  • Linux: ~/.config/claude/claude_desktop_config.json

{
  "mcpServers": {
    "2hr-jobs": {
      "command": "/path/to/venv/bin/python",
      "args": ["/path/to/2hr-jobs-mcp-server/server.py"],
      "env": {
        "JOBS_API_URL": "https://api.2hr.pl/v1",
        "JOBS_API_KEY": "your_api_key",
        "REDIS_URL": "redis://localhost:6379/0"
      }
    }
  }
}

Restart Claude Desktop. The server appears in the tools panel — Claude will automatically call the right tool based on your questions.


Cursor integration

Edit ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project):

{
  "mcpServers": {
    "2hr-jobs": {
      "command": "python",
      "args": ["/path/to/server.py"],
      "env": {
        "JOBS_API_URL": "https://api.2hr.pl/v1",
        "JOBS_API_KEY": "your_api_key"
      }
    }
  }
}

In Cursor's Agent Mode (Ctrl+Shift+I), the tools are available automatically.


Remote HTTP server (production)

For production use, configure the client with the remote URL:

{
  "mcpServers": {
    "2hr-jobs-remote": {
      "url": "https://mcp.your-domain.com/sse",
      "transport": "sse"
    }
  }
}

Docker deployment

cp .env.example .env
# Fill in JOBS_API_URL and JOBS_API_KEY

docker compose up -d

# Check status
docker compose ps
docker compose logs mcp-server

For HTTPS, use the included nginx.conf as a reverse proxy template with Let's Encrypt.


Project structure

2hr-jobs-mcp-server/
├── server.py              # Entry point — stdio transport (Claude Desktop, Cursor)
├── server_http.py         # Entry point — HTTP/SSE transport (production)
├── api/
│   └── client.py          # Async httpx client for backend REST API
├── cache/
│   └── redis_cache.py     # Redis cache with cache-aside pattern
├── tools/
│   ├── search.py          # search_jobs, find_remote_jobs, find_jobs_in_city, get_latest_jobs
│   ├── salary.py          # get_salary_report, compare_salaries, check_salary_fairness
│   └── analytics.py       # get_top_technologies, compare_roles, get_market_trends, ...
├── resources/
│   └── documentation.py   # MCP Resources (API docs, market summary)
├── prompts/
│   └── templates.py       # MCP Prompts (job search assistant, salary negotiation)
├── security/
│   └── validators.py      # Input sanitization, rate limiting, injection detection
├── monitoring/
│   └── metrics.py         # Tool call tracking, latency monitoring
├── tests/
│   └── test_search.py     # Unit tests for validators and formatters
├── Dockerfile
├── docker-compose.yml
├── nginx.conf
└── .env.example

Configuration

All settings via environment variables (copy .env.example to .env):

Variable

Default

Description

JOBS_API_URL

Backend REST API base URL

JOBS_API_KEY

API authentication key

REDIS_URL

redis://localhost:6379/0

Redis connection string

CACHE_TTL_JOBS

300

Job listings cache TTL in seconds

CACHE_TTL_SALARY

3600

Salary reports cache TTL

CACHE_TTL_ANALYTICS

1800

Analytics cache TTL

CACHE_TTL_TRENDS

3600

Market trends cache TTL

MCP_PORT

8765

HTTP server port

LOG_LEVEL

INFO

Logging verbosity


Running tests

pip install pytest pytest-asyncio
pytest tests/ -v

Security features

  • Input sanitization: SQL injection, XSS, path traversal detection via regex patterns

  • Pydantic v2 validation with strict bounds on salary and limit parameters

  • Redis-based rate limiting per client identifier

  • Non-privileged mcp user in Docker container

  • API key authentication between MCP server and backend API

  • fail open on Redis errors — cache miss, not service failure


Architecture

AI Client (Claude / Cursor)
         |
    MCP Protocol
    (stdio or HTTP/SSE)
         |
   MCP Server (Python)
   FastMCP + tools/salary/analytics
         |
   Redis Cache (TTL 5-60 min)
         |
   REST API (your backend)
         |
   Database (MySQL / PostgreSQL)

The MCP server is a stateless middleware layer — it holds no data of its own. All job and salary data lives in your existing backend, which the MCP server proxies through standardized tools.


Data source

All data is powered by 2hr.pl — Polish IT job board aggregating thousands of IT job listings.

  • Salaries in PLN gross/month

  • Covers all major Polish cities: Warsaw, Krakow, Wroclaw, Gdansk, Gdynia, Poznan, Lodz, Katowice, Rzeszow, Szczecin

  • Includes remote positions

  • Data refreshed continuously

Read the full tutorial (Polish): Jak zbudować serwer MCP w Pythonie dla portalu pracy



License

MIT — see LICENSE

A
license - permissive license
-
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
1Releases (12mo)
Commit activity

Resources

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