Banbury Cloud MCP Server

What is Banbury Cloud MCP Server?

Banbury Cloud MCP Server is a Model Context Protocol server that provides access to Banbury's backend services for LLMs and AI applications. It supports HTTP transport for frontend integration and stdio transport for Claude Desktop.

How to use Banbury Cloud MCP Server?

Run the server using ./run-http.sh for HTTP mode (default port 3001) or ./run.sh for stdio mode. Configure environment variables like MCP_TRANSPORT, MCP_HTTP_PORT, and BANBURY_ENV. For frontend integration, set REACT_APP_MCP_SERVER_URL; for Claude Desktop, add the command to the config.

Key features of Banbury Cloud MCP Server

• Supports HTTP and stdio transport modes.
• Provides authentication tools like banbury-login.
• Device management: get info, update, declare online.
• File management: get files and scanned folders.
• Task management: get sessions, add tasks.
• Model management: add models to devices.

Use cases of Banbury Cloud MCP Server

• Integrate Banbury backend services into AI-powered web applications.
• Allow Claude Desktop to manage Banbury devices and tasks.
• Automate device management tasks via API calls.
• Add new tasks or models to Banbury through natural language interfaces.

FAQ from Banbury Cloud MCP Server

What runtime dependencies are required?

Requires Node.js and npm; dependencies are installed via npm install.

What transport modes are supported?

Supports HTTP (configurable port, default 3001) and stdio (stdin/stdout) for integration with Claude Desktop.

How is authentication handled?

Multiple methods with priority order: Authorization Bearer header, X-Auth-Token header, X-API-Key header, X-Username header, and request parameters (legacy).

Where does user data reside?

Data is processed via Banbury’s backend services; the server does not log or cache sensitive data.

Can I use a custom port in HTTP mode?

Yes, set the MCP_HTTP_PORT environment variable or pass the port as an argument to `run