Step-by-step guides for connecting popular AI assistants to your restaurant data via the MCP protocol.
Before connecting any tool, you need:
https://api.meni.ge/mcp💡 See the MCP Server User Guide for detailed instructions on generating your API key.
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
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.
AI code editor with built-in MCP support.
Option 1 — Via UI:
Cmd/Ctrl + ,) → MCPmeniHTTPhttps://api.meni.ge/mcp.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.
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).
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
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:
https://api.meni.ge/mcpmeni{
"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.
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.
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:
https://api.meni.ge/mcpYOUR_API_KEYStep 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.
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"}
| Problem | Solution |
|---|---|
| Connection refused | Verify the URL is exactly https://api.meni.ge/mcp |
401 Unauthorized |
Check your API key — it may be revoked or mistyped |
| Tools not showing | Restart the AI tool after saving the config |
| Key doesn't work | Ensure format is Bearer <key> (with space after Bearer) |
| Key lost | Revoke it in admin panel and generate a new one |
Authorization: Bearer your_key