Remote Jobs Mcp Server
About
Official Model Context Protocol (MCP) server to search, filter, and retrieve live remote job listings from the Jobicy database in real-time. Works with Claude Code, Cursor, Cline, and custom AI agents.
Details
- Author
- Jobicy
- Downloads
- 338
- Categories
- Developer Tools, AI
Jump to
- Search over 150,000 remote job listings
- Filter by region, industry, and keywords
- Retrieve real-time job data from Jobicy
- Fetch valid filter slugs for regions and categories
- Works with Claude, Cursor, Cline, and MCP tools
- Choose hosted SSE or local stdio deployment
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Remote Jobs Mcp ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Connect AI clients like Claude, Cursor, or Cline via a public SSE endpoint at https://jobicy.com/mcp, or run the server locally by cloning the repo, installing dependencies with npm install, and configuring with node and the --stdio flag.
get_jobs
Fetches a structured list of remote jobs from the Jobicy database. Safe GET request with zero side-effects. No authentication required. Returns a JSON-encoded array of job listings sorted by publication date (newest first). Each job includes id, url, jobTitle, companyName, companyLogo, jobIndustry, jobType, jobGeo, jobLevel, jobExcerpt, jobDescription, salary information (when available), and pubDate. Geographic filtering is candidate-availability based rather than exact location matching. Results may include jobs whose geographic eligibility covers the requested location through country, region, multi-region, or global availability. For example, a request for geo='hungary' may return jobs tagged Hungary, Europe, EMEA, Anywhere, or other geographic groups that explicitly include Hungary within their eligible hiring regions. Always call 'get_taxonomies' first to discover valid location and industry slugs before filtering. Use the 'count' parameter to specify how many jobs to return (1–100, default 100). Rate limits: standard public API limits apply; avoid aggressive polling.
get_taxonomies
Retrieves available filter slugs for locations or industries to prevent formatting errors. Read-only metadata request with no side-effects. No authentication required. Returns a JSON object containing valid slugs. Use this tool before get_jobs when you need to verify if a specific region or category slug exists.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"remote jobs mcp server": {
"jobicy-jobs": {
"url": "https://jobicy.com/mcp"
}
}
}
}McpServers
{
"jobicy-jobs": {
"url": "https://jobicy.com/mcp"
}
}Jobicy Remote Jobs MCP Server
Official MCP server for Jobicy, providing AI assistants with access to over 150,000 remote job opportunities from companies worldwide across 20+ professional industries.
AI clients such as Claude, Cursor, Cline, and other MCP-compatible tools can search, filter, and retrieve real-time remote jobs directly from the Jobicy database.
Available Tools
- get_jobs: Fetches a structured list of remote jobs. Supports filtering by count, region (geo), category (industry), and keywords (tag).
- get_taxonomies: Retrieves valid filter slugs for regions (locations) or categories (industries).
---
Usage
You can connect to this server in two ways: via our hosted public SSE endpoint, or by running it locally using stdio.
1. Public SSE Endpoint (Recommended)
You can connect your AI clients directly to our cloud-hosted server. Add this to yourclaude_desktop_config.json or Cursor settings:
{
"mcpServers": {
"jobicy-jobs": {
"url": "https://jobicy.com/mcp"
}
}
}
2. Local Installation (via Stdio)
If you prefer to run the server locally on your machine:1. Clone this repository.
2. Install dependencies: npm install
3. Add the server to your configuration using node and the --stdio flag:
{
"mcpServers": {
"jobicy-jobs-local": {
"command": "node",
"args": ["/path/to/your/cloned/folder/server.js", "--stdio"]
}
}
}
License
MIT---
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