HireBase Job Search▌
by jhgaylor
Discover jobs near me with HireBase Job Search. Explore job listings and postings near you using advanced filters for yo
Integrates with HireBase Job API to enable job searching with extensive filtering options and detailed job information retrieval for career exploration and job seeking
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Job seekers looking for targeted opportunities
- / Career counselors helping clients find positions
- / Recruiters researching market opportunities
- / Career changers exploring different industries
capabilities
- / Search jobs by keywords, title, location, and salary range
- / Filter jobs by company, experience level, and visa requirements
- / Retrieve detailed information for specific job postings
- / Generate candidate profiles to guide job searching
- / Browse jobs across multiple countries and cities
- / Filter by remote, hybrid, or on-site work arrangements
what it does
Searches for jobs through the HireBase API with detailed filtering options and retrieves comprehensive job information.
about
HireBase Job Search is a community-built MCP server published by jhgaylor that provides AI assistants with tools and capabilities via the Model Context Protocol. Discover jobs near me with HireBase Job Search. Explore job listings and postings near you using advanced filters for yo It is categorized under search web.
how to install
You can install HireBase Job Search in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
HireBase Job Search is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
HireBase MCP Server
A Model Context Protocol (MCP) server providing tools to interact with the HireBase Job API.
Available MCP Interactions
This server exposes the following MCP interactions:
Tools
search_jobs: Search for jobs using the HireBase API based on various criteria (keywords, title, location, salary, etc.).- Parameters:
query,and_keywords,or_keywords,not_keywords,title,category,country,city,location_type,company,salary_from,salary_to,salary_currency,years_from,years_to,visa,limit.
- Parameters:
get_job: Retrieve detailed information about a specific job using its HireBase ID.- Parameters:
job_id.
- Parameters:
Prompts
create_candidate_profile: Generates a structured prompt based on candidate details (name, LinkedIn, website, resume text) to help guide job searching.- Parameters:
name,linkedin_url,personal_website,resume_text.
- Parameters:
Client Setup (Examples: Claude Desktop, Cursor)
To use this server with an MCP client like Claude Desktop or Cursor, you need to configure the client to run the server process and optionally provide the HireBase API key.
-
Ensure
uvis installed:curl -LsSf https://astral.sh/uv/install.sh | sh -
Obtain a HireBase API Key (optional): Request a key from HireBase You can set this as an environment variable (
HIREBASE_API_KEY) or just leave it empty. -
Configure your client:
-
Using
uvx:- Claude Desktop: Edit your
claude_desktop_config.json:{ "mcpServers": { "hirebase": { "command": "uvx", "args": [ "hirebase-mcp" ], "env": { "HIREBASE_API_KEY": "" } } } } - Cursor: Go to Settings > MCP > Add Server:
- Mac/Linux Command:
uvx hirebase-mcp(Adjust package name if needed) - Windows Command:
cmd - Windows Args:
/c,uvx,hirebase-mcp(Adjust package name if needed) - Set the
HIREBASE_API_KEYenvironment variable in the appropriate section.
- Mac/Linux Command:
- Claude Desktop: Edit your
-
Running from source via Python (Alternative):
- Clone the repo and note where you clone it to
- Claude Desktop: Edit your
claude_desktop_config.json:
{ "mcpServers": { "hirebase": { "command": "uv", "args": [ "run", "--with", "mcp[cli]", "--with", "requests", "mcp", "run", "PATH_TO_REPO/src/hirebase_mcp/server.py" ] } } }
-
Development
This project uses:
uvfor dependency management and virtual environmentsrufffor linting and formattinghatchas the build backend
Common Tasks
# Setup virtual env
uv venv
# Install dependencies
uv pip install -e .
# install cli tools
uv tool install ruff
# Run linting
ruff check .
# Format code
ruff format .
Environment Variables
HIREBASE_API_KEY(required): Your API key for accessing the HireBase API. The server needs this to make authenticated requests for job data.
Testing
This project uses pytest for testing the core tool logic. Tests mock external API calls using unittest.mock.
- Install test dependencies:
# Ensure you are in your activated virtual environment (.venv)
uv pip install -e '.[test]'
- Run tests:
# Example command
pytest
Contributing
Contributions are welcome.
License
This project is licensed under the MIT License - see the LICENSE file for details.
FAQ
- What is the HireBase Job Search MCP server?
- HireBase Job Search is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for HireBase Job Search?
- This profile displays 49 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Web Research & Information Gathering
Fetch and extract information from websites automatically
Example
Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Content Monitoring & Alerts
Track website changes, new content, price updates
Example
Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Data Extraction & Aggregation
Extract structured data from multiple websites
Example
Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
API-less Integration
Interact with services that don't offer APIs
Example
Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Implementation Guide▌
Prerequisites
- ›Claude Desktop or Cursor with MCP support
- ›Understanding of web scraping ethics and robots.txt
- ›Rate limiting awareness to avoid overwhelming target sites
- ›Knowledge of legal restrictions on data collection
Time Estimate
20-40 minutes including configuration and testing
Installation Steps
- 1.Install web automation MCP server via npm or pip
- 2.Configure allowed domains and rate limits in MCP config
- 3.Test with simple fetch: 'Get content from example.com'
- 4.Progress to extraction: 'Extract all product prices from this page'
- 5.Set up monitoring: 'Check this URL daily for changes'
- 6.Parse structured data: 'Create CSV from this table'
- 7.Respect robots.txt and rate limits always
Troubleshooting
- ⚠403 Forbidden: Website blocks bots—respect their wishes, use official API instead
- ⚠Rate limit errors: Slow down requests, add delays between fetches
- ⚠Stale data: Target site changed HTML structure—update selectors
- ⚠Timeout errors: Site is slow or blocking—increase timeout, try different user agent
- ⚠JavaScript-rendered content: Use headless browser MCP servers for dynamic sites
Best Practices▌
✓ Do
- +Check robots.txt and respect crawl rules
- +Rate limit requests: 1-2 requests/second maximum
- +Use official APIs when available instead of scraping
- +Identify your bot with descriptive user agent
- +Cache results to minimize repeated requests
- +Handle errors gracefully with retries and fallbacks
- +Validate extracted data for accuracy
✗ Don't
- −Don't scrape sites that explicitly forbid it (robots.txt, ToS)
- −Don't overwhelm servers with rapid requests—use rate limiting
- −Don't scrape personal data without consent and legal basis
- −Don't ignore copyright on extracted content
- −Don't assume HTML structure is stable—handle changes
- −Don't use scraped data for commercial purposes without permission
💡 Pro Tips
- ★Use CSS selectors or XPath for robust data extraction
- ★Set up monitoring alerts for extraction failures (structure changed)
- ★Implement exponential backoff for retries on failures
- ★Store raw HTML for reprocessing if extraction logic changes
- ★Combine with data analysis tools for insights from extracted data
- ★Consider using official APIs or RSS feeds as more stable alternatives
Technical Details▌
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
- HTTP/HTTPS
- WebSocket (for real-time sites)
- Puppeteer/Playwright (for JavaScript sites)
Compatibility
- Static HTML sites
- JavaScript-rendered SPAs (with headless browser)
- REST APIs
- GraphQL endpoints
When to Use This▌
✓ Use When
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid When
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.
Integration▌
- →Scheduled monitoring with change detection
- →Multi-source data aggregation pipelines
- →Fallback to web scraping when API rate limits hit
- →Headless browser for JavaScript-heavy sites
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★49 reviews- ★★★★★William Gill· Dec 28, 2024
HireBase Job Search reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Chen Garcia· Dec 12, 2024
HireBase Job Search has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Kwame Tandon· Dec 12, 2024
HireBase Job Search is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Camila Gupta· Dec 8, 2024
Useful MCP listing: HireBase Job Search is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Arya Bansal· Nov 15, 2024
HireBase Job Search reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Chen Johnson· Nov 3, 2024
HireBase Job Search is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Li Wang· Nov 3, 2024
HireBase Job Search has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Amelia Haddad· Oct 26, 2024
HireBase Job Search reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Luis Verma· Oct 22, 2024
We wired HireBase Job Search into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Luis Tandon· Oct 22, 2024
According to our notes, HireBase Job Search benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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