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Web3 Jobs MCP Server

@kukapay

代码仓库

基本信息

分类

其他

许可证

MIT license

传输方式

stdio

作者

kukapay

关于 Web3 Jobs MCP Server

An MCP server that provides AI agents with real-time access to curated Web3 jobs.

#web3#jobs#ai-agents

Web3 Jobs MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "web3-jobs-mcp": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

Web3 Jobs MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Web3 Jobs MCP Server?

Web3 Jobs MCP Server is an MCP (Model Context Protocol) server that gives AI agents real-time access to curated Web3 jobs from web3.career, enabling intelligent job discovery and career insights. It is designed for developers and AI assistants who need up‑to‑date Web3 job listings.

How to use Web3 Jobs MCP Server?

Install dependencies with uv sync (recommended) or pip install mcp[cli] python-dotenv. Obtain a web3.career API token at web3.career/web3-jobs-api. Configure the server in Claude Desktop using the provided JSON snippet, setting the WEB3_CAREER_API_TOKEN environment variable. Start the server with uv run mcp dev main.py (for testing via MCP Inspector) or uv run main.py. Use the query_jobs tool to filter jobs by remote, country, tag, and limit, and the search_jobs_prompt for generating search queries.

Key features of Web3 Jobs MCP Server

  • Query Web3 jobs with filters: remote status, country, tag, and limit.
  • Returns formatted Markdown list with job ID, title, company, location, and more.
  • Includes clickable apply URLs and truncated descriptions (100 characters).
  • Provides a search prompt generator for role and location.

Use cases of Web3 Jobs MCP Server

  • AI‑powered job boards that show live Web3 opportunities.
  • Automated career advice bots that deliver filtered job recommendations.
  • Developer tools that integrate Web3 job search into assistant workflows.
  • Recruitment analysis by aggregating listings with specific tags or locations.

常见问题

1

What prerequisites are needed to run Web3 Jobs MCP Server?

Python 3.10+ and a web3.career API token are required. The [uv](https://github.com/astral-sh/uv) package manager is recommended for dependency management.

2

How do I get a web3.career API token?

Request one at [web3.career/web3-jobs-api](https://web3.career/web3-jobs-api). The token must be set in the environment variable `WEB3_CAREER_API_TOKEN`.

3

How do I install Web3 Jobs MCP Server on Claude Desktop?

Clone the repo, install dependencies with `uv sync`, then run `uv run mcp install cli.py --name "Web3 Jobs"`. Alternatively, manually add the server configuration to Claude Desktop’s `mcpServers` JSON.

4

What does the `query_jobs` tool do?

It fetches Web3 jobs from web3.career with optional filters: `remote` (boolean), `country` (string, case‑insensitive), `tag` (string, case‑insensitive), and `limit` (integer, 1–100, default 50). Results are returned as structured Markdown.

5

Is there a prompt available for job search?

Yes, the `search_jobs_prompt` generates a natural language prompt based on a given role and location, e.g., `/search_jobs_prompt role="blockchain developer" location="remote"`.

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