mcp-geralearn

Install mcp-geralearn in your MCP client

mcp-geralearn 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-geralearn 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-geralearn's tools should appear.

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

npm package: @gera-services/mcp-geralearn

Required environment variables

mcp-geralearn 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.

• GERALEARN_API_URL

Transport

mcp-geralearn 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.