Demo MCP Server

Demo MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Demo MCP server for MCP Workbench — tools, resources, and prompts out of the box.

What you get

A developer toolkit for testing, inspecting, and validating Model Context Protocol servers.

Setting it up

The server ships on npm as @mcp-workbench/cli, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

What the assistant can call

Once Demo is connected, these are the calls the assistant has available:

• kind — status

Configuration and credentials

You will need one environment variable: MCP_API_TOKEN. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Before you rely on it

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the demo mcp server does with a few real requests.

Choosing this one

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Demo's toolset — kind — is a fair guide to whether it matches your workflow. It is maintained by raeseoklee; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.