cd job-matcher-mcp

pip install -r requirements.txt

export USE_MOCK_DATA=true
python mcp_server.py

=== Testing search_jobs ===
{
"success": true,
"job_listings": [
{
"id": "mock_1",
"title": "Senior Product Manager",
"company": "TechCorp Inc",
"location": "San Francisco, CA",
...
}
],
...
}

=== Testing customize_resume ===
{
"success": true,
"customized_resume": "# John Doe...",
...
}

git clone https://github.com/yourusername/job-matcher-mcp.git
cd job-matcher-mcp

# macOS/Linux
python3 -m venv venv
source venv/bin/activate

# Windows
python -m venv venv
.\venv\Scripts\Activate.ps1

pip install -r requirements.txt

cp .env.example .env

ADZUNA_APP_ID=your_actual_app_id
ADZUNA_APP_KEY=your_actual_app_key
ANTHROPIC_API_KEY=sk-ant-your_actual_api_key
USE_MOCK_DATA=false
LOG_LEVEL=INFO

# macOS/Linux
export $(grep -v '^#' .env | xargs)

# Windows PowerShell
Get-Content .env | ForEach-Object {
    $name, $value = $_.Split('=')
    if ($name) { Set-Item -Path env:\$name -Value $value }
}

python mcp_server.py

# Поиск вакансий
curl -X POST http://localhost:8000/tools/search_jobs \
-H "Content-Type: application/json" \
-d '{
"role": "Product Manager",
"location": "San Francisco, CA",
"experience_years": 5,
"max_results": 10
}'

# Настройка резюме
curl -X POST http://localhost:8000/tools/customize_resume \
-H "Content-Type: application/json" \
-d '{
"base_resume": "...",
"job_description": "...",
"template": "modern"
}'

from mcp_server import JobMatcherMCPServer

server = JobMatcherMCPServer()

# Поиск вакансий
jobs = server.search_jobs(
    role="Product Manager",
    location="San Francisco, CA",
    experience_years=5,
    max_results=10
)
print(jobs)

# Настройка резюме
resume = server.customize_resume(
    base_resume="Your resume text here...",
    job_description="Job description here...",
    template="modern"
)
print(resume)

{
"role": "Product Manager",              // Required: Job title
"location": "San Francisco, CA",        // Required: Geographic location
"experience_years": 5,                  // Required: Years of experience
"max_results": 10,                      // Optional: Limit results (default: 10)
"use_mock_data": false                  // Optional: Use mock data (default: false)
}

{
"success": true,
"job_listings": [
{
"id": "12345",
"title": "Senior Product Manager",
"company": "TechCorp",
"location": "San Francisco, CA",
"link": "https://...",
"salary_min": 120000,
"salary_max": 160000,
"posted_date": "2026-08-17T10:00:00Z",
"description_snippet": "We are looking for..."
}
],
"total_found": 123,
"search_time_ms": 1234,
"error": null
}

jobs = server.search_jobs(
    role="Product Manager",
    location="Remote",
    experience_years=3,
    max_results=5
)

{
"base_resume": "# Jane Doe...",                     // Required: Your resume text
"job_description": "We are looking for...",         // Required: Job posting
"template": "modern",                               // Optional: modern|classic|minimal
"use_mock_data": false                              // Optional: Use mock data
}

{
"success": true,
"customized_resume": "# Jane Doe...",
"match_analysis": {
"skills_match_percentage": 82,
"matched_skills": ["Product Management", "Leadership"],
"missing_skills": ["Machine Learning", "Cloud"],
"suggestions": ["Add ML experience if applicable"],
"keywords_added": ["Data-driven", "Cross-functional"]
},
"generation_time_ms": 2345,
"error": null
}

customized = server.customize_resume(
    base_resume=open("resume.txt").read(),
    job_description=open("job_posting.txt").read(),
    template="modern"
)

pip install -r requirements.txt

# Проверьте, установлены ли ключи
echo $ADZUNA_APP_ID
echo $ANTHROPIC_API_KEY

# Попробуйте более широкий поиск
jobs = server.search_jobs(
    role="Manager",  # Более общий термин
    location="New York, NY",
    experience_years=5,
    max_results=50
)

resume = server.customize_resume(
    base_resume="...",
    job_description="...",
    use_mock_data=True  # Пропустить вызов API
)

# Сохраняйте результаты поиска вакансий
cached_jobs = {}
key = f"{role}*{location}*{experience_years}"
if key not in cached_jobs:
    cached_jobs[key] = server.search_jobs(...)

# 1. Создайте аккаунт Vercel на https://vercel.com
# 2. Установите Vercel CLI
npm install -g vercel
# 3. Разверните
vercel
# 4. Добавьте переменные окружения в панели Vercel
# Settings → Environment Variables

# 1. Создайте аккаунт Railway на https://railway.app
# 2. Подключите ваш Git-репозиторий
# 3. Добавьте переменные окружения в панели Railway