What problem does it solve?
Working with Model Context Protocol (MCP) servers typically requires manual configuration, custom API integration, and handling different transport protocols (HTTP/stdio), which creates unnecessary friction for developers building AI agent workflows.
Core Features & Use Cases
- MCP Server Management: List all configured MCP servers, view their full tool schemas, and manage authentication and configuration settings directly from the CLI.
- Flexible Tool Invocation: Call MCP server tools using multiple input formats (selector syntax, function syntax, JSON payloads) for both HTTP and stdio transports.
- Developer Productivity Tools: Generate type-safe TypeScript clients and CLI wrappers for MCP servers to speed up integration with AI applications.
- Use Case: For example, a developer building an AI agent that needs to fetch data from a Linear issue tracker can use this skill to call Linear's MCP tools directly without writing custom API integration code.
Quick Start
Use the mcporter skill to list your configured MCP servers, view their available tools, and call a specific tool to retrieve data from a connected service.