Protocol Career MCP

What Protocol Career MCP MCP server does

Protocol Career MCP MCP server brings Protocol Career’s interview-practice content into compatible AI assistants through the Model Context Protocol. It is designed for consulting candidates preparing for interviews at major US firms, including McKinsey, BCG, Bain, and other firms in the field.

The service covers three practice formats. Drill sessions focus on individual skills commonly tested in consulting interviews: mental arithmetic, market sizing, problem structuring, and interpreting charts. Full case practice follows a case from beginning to end. Fit-interview practice focuses on personal-experience and behavioural questions.

This server is a fit when an MCP client is already part of your preparation workflow and you want to practise these areas through that client rather than install a local application.

How it works

Protocol Career MCP MCP server is hosted remotely at https://protocol-club.com/api/mcp. Clients connect using Streamable HTTP, and the server is described as stateless. The connection exposes Protocol Career’s practice functions to the MCP client so the assistant can support drills, case interviews, and fit-question preparation.

No account credential, API key, or local server process is specified in the provided setup information. Because the service is remote, the main client-side requirement is the ability to add a Streamable HTTP MCP server.

The repository identifies the MCP server as protocol-career. Its website is https://protocol-club.com, and implementation issues can be reported through the project’s GitHub issue tracker.

Setup and configuration

Add the remote URL to the MCP client configuration. A generic configuration uses the following structure:

{
  "mcpServers": {
    "protocol-career": {
      "type": "http",
      "url": "https://protocol-club.com/api/mcp"
    }
  }
}

Claude Code can be configured with:

claude mcp add --transport http protocol-career https://protocol-club.com/api/mcp

There is no package installation step and no environment variable or API key is documented as required. The endpoint uses HTTP transport rather than a local standard-input/output process.

Tools and capabilities

Protocol Career MCP MCP server supports the following practice areas:

• Mental-math drills for repeated quantitative practice.
• Market-sizing exercises.
• Structuring practice for breaking down consulting problems.
• Chart-reading drills.
• End-to-end case interview practice.
• Fit and behavioural-question rehearsal.

The provided material describes these capabilities by practice type, not by individual MCP tool names. The server is therefore best evaluated as a practice interface for consulting interviews rather than as a general research, recruiting, or analytics connector.

The content is intended for preparation across major US consulting firms. The README does not specify firm-specific modes, progress tracking, scoring, saved sessions, or customization options, so those functions should not be assumed.

Limitations and notes

The service requires network access to the hosted endpoint because it is remote. The documentation states that authentication is not required, but it does not describe rate limits, availability guarantees, data retention, privacy controls, or offline operation.

The repository provides connection details and broad practice categories but does not list exact tool schemas or response formats. Client support may therefore depend on whether the client accepts remote Streamable HTTP MCP servers. The documented Claude Code command uses HTTP transport directly; other clients should use their own remote-server configuration format.

Protocol Career MCP MCP server is focused on interview practice. It should not be treated as a source of firm hiring policy, a substitute for an interviewer, or a connector to consulting-firm systems unless additional documentation confirms those uses.