Web3 Jobs MCP Server

The Web3 Jobs MCP Server bridges the gap between AI assistants and the rapidly evolving Web3 employment landscape. By exposing a simple, well‑defined API that queries curated job listings from web3.career, the server gives agents instant, up‑to‑date access to roles across blockchain, crypto‑finance, and decentralized application development. This capability is especially valuable for career counselors, recruitment bots, or any AI‑powered workflow that needs reliable job data without building custom scrapers.

At its core, the server offers two primary tools: and .

• lets callers filter listings by remote status, country, job tag, and result count. The output is a neatly formatted Markdown list that includes every detail an applicant might need—job ID, title, company, location, remote flag, publication date, a clickable apply link, and a concise description.
• generates human‑readable search queries tailored to a role and optional location, enabling agents to request job data in natural language while still leveraging the structured tool underneath.

Developers can integrate these tools into any MCP‑compatible client, such as Claude Desktop or the MCP Inspector. A typical workflow might involve an AI assistant asking a user for their preferred role and location, using to produce a search phrase, then invoking with the appropriate filters. The Markdown response can be rendered directly in chat or forwarded to a spreadsheet, email, or notification system.

Key advantages of this server include:

• Real‑time data from a trusted source (web3.career) without manual updates.
• Fine‑grained filtering that supports remote work preferences and geographic targeting—critical for distributed teams.
• Human‑friendly output in Markdown, which preserves formatting across platforms and reduces the need for post‑processing.
• Simplicity: only a single API token is required, and the MCP interface abstracts away HTTP details.

In practice, recruiters can use the server to populate candidate pools, while job seekers can let an AI assistant surface hidden opportunities that match their skill set. Startups building talent‑matching platforms can embed the MCP server to provide instant Web3 job feeds, and career‑development apps can offer AI‑driven job discovery as a core feature. By turning raw Web3 listings into structured, actionable data, the Web3 Jobs MCP Server empowers developers to build smarter, more responsive AI tools that keep pace with the fast‑moving blockchain job market.