What can you do with Web3 Jobs MCP?
- Job Query Tool: Filter Web3 jobs by:
- Markdown Output: Returns job listings as a formatted Markdown list with:
- Search Prompt: Generates user-friendly job search queries based on role and optional location.
Install
The installation steps are in the documentation below. Documentation
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Web3 Jobs MCP Server
An MCP server that provides AI agents with real-time access to curated Web3 jobs from web3.career, enabling intelligent job discovery and career insights.
Features
- Job Query Tool: Filter Web3 jobs by:
- Remote status (
remote=Truefor remote-only jobs) - Country (e.g.,
"United States", case-insensitive) - Job tag (e.g.,
"react","blockchain", case-insensitive) - Limit (1–100 jobs, default 50)
- Remote status (
- Markdown Output: Returns job listings as a formatted Markdown list with:
- Job ID, Title, Company, Location, Remote status
- Published At (from
date_epoch, formatted asYYYY-MM-DD) - Apply URL (clickable link to web3.career)
- Description (plain text, truncated to 100 characters)
- Search Prompt: Generates user-friendly job search queries based on role and optional location.
Prerequisites
- Python 3.10+
- A web3.career API token (request at web3.career/web3-jobs-api)
- uv for dependency management (recommended)
Installation
- Clone the Repository:
git clone https://github.com/kukapay/web3-jobs-mcp.git cd web3-jobs-mcp Install Dependencies: Using
uv:uv syncAlternatively, with
pip:pip install mcp[cli] python-dotenvInstalling to Claude Desktop:
Install the server as a Claude Desktop application:
uv run mcp install cli.py --name "Web3 Jobs"Configuration file as a reference:
{ "mcpServers": { "Web3 Jobs": { "command": "uv", "args": [ "--directory", "/path/to/web3-jobs-mcp", "run", "main.py" ], "env": { "WEB3_CAREER_API_TOKEN", "your-api-token" }, } } }Replace
/path/to/web3-jobs-mcpwith your actual installation path, andyour-api-tokenwith your web3.career API token.
Usage
Running the Server
Start the server in development mode with the MCP Inspector:
uv run mcp dev main.py
This opens a web interface for testing tools and prompts.
Alternatively, run directly:
uv run main.py
Using the query_jobs Tool
In the MCP Inspector or a compatible client (e.g., Claude Desktop), call the query_jobs tool:
- Example 1: Get 5 remote blockchain jobs:
query_jobs(remote=True, tag="blockchain", limit=5) - Example 2: Get 10 jobs in the United States:
query_jobs(country="United States", limit=10)
Sample Output:
# Web3 Job Listings
- **Job ID**: 103945
- **Title**: Applied Crypto-Economics & Mechanism Design
- **Company**: Subzero Labs
- **Location**: Remote Remote Remote
- **Remote**: Yes
- **Published At**: 2025-06-01
- **Apply URL**: [Apply](https://web3.career/r/1QTOzATM__UVWHaa)
- **Description**: About Rialo We are a pioneering force in the decentralized finance (DeFi) space...
- **Job ID**: 103944
- **Title**: Blockchain Engineer
- **Company**: CryptoTech
- **Location**: Remote
- **Remote**: Yes
- **Published At**: 2025-05-31
- **Description**: Join our team to build cutting-edge blockchain solutions for global clients...
- **Apply URL**: [Apply](https://web3.career/r/2XYZabc123)
*Source: web3.career*
Using the search_jobs_prompt
Generate a search prompt for a specific role and location:
/search_jobs_prompt role="blockchain developer" location="remote"
This returns a prompt like:
Find Web3 jobs for a blockchain developer role in remote. Provide job titles, companies, locations, and application links from web3.career.
License
This project is licensed under the MIT License. See the LICENSE file for details.
Frequently asked questions
What is Web3 Jobs MCP?
Real-time access to curated Web3 job listings.
How do I install Web3 Jobs MCP?
Follow the installation steps in its documentation, shown on this page and in its repository.
Is Web3 Jobs MCP open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains Web3 Jobs MCP?
It is published by kukapay. AI.tn lists it but does not maintain or endorse it.
From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.