
HireBase Job Search
Searches for jobs through the HireBase API with detailed filtering options and retrieves comprehensive job information.
Integrates with HireBase Job API to enable job searching with extensive filtering options and detailed job information retrieval for career exploration and job seeking
What it does
- 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
Best for
About HireBase Job Search
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
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.
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.
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