This repository contains the Go-based MCP server for Cezzis.com cocktails. It exposes a streamable HTTP MCP interface that lets MCP clients search
This repository contains the Go-based MCP server for Cezzis.com cocktails. It exposes a streamable HTTP MCP interface that lets MCP clients search cocktail data
The server is an integration layer, not the source of cocktail data. It registers MCP tools, forwards requests to the upstream Cocktails, AI Search, and Accounts APIs, stores authentication tokens in PostgreSQL per MCP session, and emits telemetry through OpenTelemetry.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| search_cocktails | Searches cocktail data using the upstream AI Search API |
| get_cocktail | Returns detailed cocktail data for a specific cocktail ID |
| convert_to_plaintext | Converts markdown or HTML-rich content into plain text |
| authentication_login_flow | Starts the Auth0 device login flow |
| auth_status | Returns the authentication state for the current MCP session |
| authentication_logout_flow | Clears tokens for the current MCP session |
| cocktail_rate | Submits a cocktail rating for an authenticated user |
| Variable | Description | Required |
|---|---|---|
| COCKTAILS_API_HOST | Endpoint or connection string the server talks to. | Optional |
| ACCOUNTS_API_HOST | Endpoint or connection string the server talks to. | Optional |
| AISEARCH_API_HOST | Endpoint or connection string the server talks to. | Optional |
| AUTH0_NATIVE_CLIENT_ID | Configuration value read at startup. | Optional |
| CEZZIS_BASE_URL | Endpoint or connection string the server talks to. | Yes |
| POSTGRES_HOST | Endpoint or connection string the server talks to. | Optional |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Follow the instructions of your client, and use the `/mcp` URL of your deployed server (e.g. http://localhost:8888/mcp)
AI-native runtime with built-in MCP server. 232 builtins, AI pipelines, RAG, single ~8 MB binary.
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