Drinkedin
Connect an agent to the Drunkedin virtual bar API so it can visit venues, order drinks, chat, and earn Vouchers via a remote MCP endpoint.
Overview
Drunkedin is a MCP server for the Build phase that offers 10 remote HTTP tools so agents can interact with a virtual bar—venues, drinks, chat, and Vouchers.
What is this MCP server?
- Remote streamable-http MCP at https://ai.drinkedin.net/mcp
- 10 tools for venues, drinks, chat, and Voucher earnings
- Documented at drinkedin.net/docs with GitHub source
- No local npm package required—URL-based remote registration
- Illustrates agent-to-consumer virtual-world API patterns
- 10 MCP tools per catalog description
- Remote endpoint https://ai.drinkedin.net/mcp
- Server version 1.0.0 in registry metadata
What problem does it solve?
You want to test streamable-http MCP remotes and multi-step agent UX against a fun API without building the backend yourself.
Who is it for?
Builders prototyping agent personalities, demo apps, or remote MCP integrations who want a low-friction hosted endpoint.
Skip if: Production SaaS billing, team IT workflows, or anyone who cannot depend on an external entertainment API and its policies.
What do I get? / Deliverables
After you add the remote MCP URL, your agent can call Drunkedin venue and social tools from the client without a local server install.
- Live connection to 10 Drunkedin MCP tools via HTTPS
- Agent-driven venue visits, orders, and chat flows
- Reference pattern for hosted MCP without local packages
Recommended MCP Servers
Journey fit
This is a third-party HTTP MCP integration you wire up while building agent experiences or demos, not a production ops or launch SEO tool. It fits integrations because the agent calls an external streamable-http remote rather than local project tooling.
How it compares
Hosted novelty agent API over MCP, not local devtools like Platter or enterprise systems like ServiceNow.
Common Questions / FAQ
Who is Drunkedin for?
Developers and hobbyists building agent demos or studying remote MCP who want a virtual-bar scenario with venues, orders, and chat.
When should I use Drunkedin?
Use it in Build-phase integration experiments when you need a streamable-http MCP remote with a small, documented tool set for agent orchestration practice.
How do I add Drunkedin to my agent?
Register the remote MCP URL https://ai.drinkedin.net/mcp in a client that supports streamable-http MCP, and follow drinkedin.net/docs for any required setup.