Connecting AI Tools to meni.ge MCP Server

Step-by-step guides for connecting popular AI assistants to your restaurant data via the MCP protocol.

Prerequisites

Before connecting any tool, you need:

• Server URL: https://api.meni.ge/mcp
• API Key: generated in the admin panel at admin.meni.ge → ⚙️ Settings → 🔑 Access → 🤖 MCP API Keys

💡 See the MCP Server User Guide for detailed instructions on generating your API key.

Claude Desktop

The desktop app by Anthropic.

Step 1. Open Claude Desktop

Step 2. Go to Settings (⚙️) → Developer → Edit Config

Step 3. The file claude_desktop_config.json will open. Add:

{
  "mcpServers": {
    "meni": {
      "url": "https://api.meni.ge/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Step 4. Save the file and restart Claude Desktop

Step 5. In a new chat, a 🔨 (tools) icon will appear at the bottom — click it and verify the meni MCP server is connected

📁 Config file location:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

Claude Code (CLI)

Anthropic's terminal-based AI assistant.

Option 1 — Via command (recommended):

claude mcp add meni \
  --transport http \
  --url https://api.meni.ge/mcp \
  --header "Authorization: Bearer YOUR_API_KEY"

Option 2 — Config file:

Edit file ~/.claude/settings.json:

{
  "mcpServers": {
    "meni": {
      "url": "https://api.meni.ge/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Verify: Run claude and ask "What are my locations?" — Claude will call my_locations.

Cursor

AI code editor with built-in MCP support.

Option 1 — Via UI:

1. Open Cursor
2. Go to Settings (Cmd/Ctrl + ,) → MCP
3. Click "+ Add new MCP Server"
4. Fill in:
   • Name: meni
   • Type: HTTP
   • URL: https://api.meni.ge/mcp
5. Click Save
6. Open the .cursor/mcp.json file and add the authorization header (see below)

Option 2 — Config file:

Create .cursor/mcp.json in your project root:

{
  "mcpServers": {
    "meni": {
      "url": "https://api.meni.ge/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Verify: In Cursor chat (Agent mode), ask "Show my locations on meni.ge" — Cursor will connect to the server.

💡 Cursor supports MCP in Agent mode. Make sure Agent mode is selected, not Ask.

VS Code (GitHub Copilot)

The GitHub Copilot extension for VS Code supports MCP servers.

Option 1 — Project file (recommended):

Create .vscode/mcp.json in your project root:

{
  "servers": {
    "meni": {
      "type": "http",
      "url": "https://api.meni.ge/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Option 2 — Global settings:

Open Settings (Cmd/Ctrl + ,) → search for mcp → open settings.json and add:

{
  "mcp": {
    "servers": {
      "meni": {
        "type": "http",
        "url": "https://api.meni.ge/mcp",
        "headers": {
          "Authorization": "Bearer YOUR_API_KEY"
        }
      }
    }
  }
}

Verify: Open Copilot Chat (Ctrl+Alt+I), select Agent mode, and ask: "What are my locations on meni.ge?"

💡 MCP servers only work in Agent mode (not in Edits or Ask).

Windsurf

AI editor by Codeium with MCP support.

Step 1. Open Windsurf

Step 2. Click the 🔨 (hammer) icon in the Cascade panel, then Configure

Or navigate to: Settings → Cascade → MCP Servers

Step 3. The mcp_config.json file will open. Add:

{
  "mcpServers": {
    "meni": {
      "serverUrl": "https://api.meni.ge/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Step 4. Save and restart Windsurf

Verify: In the Cascade chat, the 🔨 icon will show available MCP tools.

📁 Config file location: ~/.codeium/windsurf/mcp_config.json

Cline (VS Code Extension)

Autonomous AI agent for VS Code.

Step 1. Open Cline in VS Code (side panel)

Step 2. Click MCP Servers (🔌 icon) at the top of the Cline panel

Step 3. Click "Remote Servers", then "Add Remote MCP Server"

Step 4. Fill in:

• Server URL: https://api.meni.ge/mcp
• Name: meni
• Headers (JSON format):

{
  "Authorization": "Bearer YOUR_API_KEY"
}

Step 5. Click Save

Or edit the cline_mcp_settings.json file directly:

{
  "mcpServers": {
    "meni": {
      "url": "https://api.meni.ge/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Verify: A green indicator next to the server means successful connection.

Continue (VS Code / JetBrains)

Open-source AI assistant for VS Code and JetBrains IDEs.

Step 1. Open Continue settings: click ⚙️ in the Continue panel

Step 2. Switch to the MCP tab

Step 3. Click "Add MCP Server" and select type Streamable HTTP

Step 4. Or edit the file ~/.continue/config.yaml:

mcpServers:
  - name: meni
    url: https://api.meni.ge/mcp
    headers:
      Authorization: "Bearer YOUR_API_KEY"

Verify: In Continue chat, ask "Show my locations" — Continue will use MCP tools.

ChatGPT (Connectors)

OpenAI ChatGPT supports external MCP servers via Connectors.

Step 1. Open chatgpt.com

Step 2. Go to Settings → Connectors → Add Connector

Step 3. Select type MCP

Step 4. Fill in:

• URL: https://api.meni.ge/mcp
• Authentication: Bearer Token
• Token: YOUR_API_KEY

Step 5. Click Save

Verify: In a new ChatGPT chat, ask "What are my locations on meni.ge?" — ChatGPT will use MCP tools.

⚠️ Connectors are available for ChatGPT Plus / Team / Enterprise subscribers.

Troubleshooting

Test Your Key

You can verify your API key works before configuring any tool:

curl https://api.meni.ge/mcp/health \
  -H "Authorization: Bearer YOUR_API_KEY"

Successful response: {"status":"ok"}

Common Issues

General Tips

• Copy the API key without spaces or extra characters
• Header format is always: Authorization: Bearer your_key
• Check key status at admin.meni.ge → Settings → Access
• You can have up to 10 keys — create separate keys for each tool
• Revoked keys stop working immediately