Mcpc MCP Server

Mcpc MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. Universal command-line client for the Model Context Protocol (MCP).

What you get

mcpc is a command-line client for the Model Context Protocol (MCP) that maps every MCP operation to an intuitive shell command.

Setting it up

Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.

What the assistant can call

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

• Authentication — The Authentication tool exposed by this server

Configuration and credentials

You will need one environment variable: APIFY_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

• Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
• 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 mcpc 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. Mcpc's toolset — Authentication — is a fair guide to whether it matches your workflow. It is maintained by GitHub Actions; 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We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.