mcp-gerajobs

Install mcp-gerajobs in your MCP client

mcp-gerajobs is a Model Context Protocol server. Add it to your MCP client config once, restart, and the server's tools become available to your AI assistant. The same JSON snippet below works across all four major clients — only the config file path differs.

1. Locate your client's MCP config file.
   • Cursor: ~/.cursor/mcp.json
   • Claude Desktop (macOS): ~/Library/Application Support/Claude/claude_desktop_config.json
   • Claude Desktop (Windows): %APPDATA%\Claude\claude_desktop_config.json
   • VS Code: Settings → Extensions → MCP
   • Windsurf: Settings → MCP Servers
2. Add mcp-gerajobs to the mcpServers map — paste the snippet below into your config file. If you already have other MCP servers, merge the entry into the existing mcpServers object.
3. Restart your client so it picks up the new server.
4. Verify — ask the assistant to list available tools; mcp-gerajobs's tools should appear.

{
  "mcpServers": {
    "mcp-gerajobs": {
      "command": "npx",
      "args": [
        "-y",
        "@gera-services/mcp-gerajobs"
      ],
      "env": {
        "GERAJOBS_API_URL": "<your-gerajobs-api-url>"
      }
    }
  }
}

npm package: @gera-services/mcp-gerajobs

Required environment variables

mcp-gerajobs needs the following environment variables set before it can run. Add them to the env block of your mcpServers entry, or export them in your shell before launching the client.

• GERAJOBS_API_URL

Transport

mcp-gerajobs supports the following MCP transports. Most AI clients use stdio by default for locally-installed servers.

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Browse the full MCP server directory or use Stork's one-line install to let your agent pick the right server automatically.