How do I configure new servers for mcp-cli?

You can configure servers by creating a mcp_servers.json file in your current directory or in ~/.config/mcp/ defining your stdio or HTTP server details.

Does mcp-cli support both local and remote servers?

Yes, it supports local stdio-based servers (e.g., using npx) and remote servers accessible via standard HTTP URLs.

What is the primary use of the mcp-cli skill?

It provides a command-line interface to interact with MCP servers, allowing Claude to access external data sources, filesystems, and APIs through a standardized protocol.

Can mcp-cli output data in JSON format?

Yes, by using the -j or --json flag, the skill returns JSON output which is ideal for programmatic parsing and automation scripts.

How can I find a specific tool if I have many servers configured?

You can use the 'mcp-cli grep' command followed by a search pattern to find specific tools by name across all your configured MCP servers.

MCP CLI Interface

Name: MCP CLI Interface
Author: oneqmethod

byoneqmethod

Developer Tools

Connects Claude to external data and services using the Model Context Protocol via a unified command-line interface.

About

The mcp-cli skill provides a robust bridge between Claude and various external systems by leveraging the Model Context Protocol. It allows developers to discover, inspect, and execute tools from both local stdio-based servers and remote HTTP servers directly through the command line. This skill is essential for automating complex workflows involving filesystems, databases, GitHub, or any custom API, enabling Claude to perform real-world actions and retrieve live data seamlessly within a standardized framework.

Key Features

Grep-style search functionality to quickly find specific tools across all servers
Seamlessly integrate with stdio and HTTP-based MCP servers
0 GitHub stars
Discover available servers and inspect tool schemas directly from the CLI
Execute tools with complex JSON arguments via standard input or files
Output formatting options including raw text and JSON for easy scripting and piping

Use Cases

Building complex data processing pipelines by chaining MCP tool outputs with shell commands
Automating filesystem operations like searching and reading files across multiple directories
Interacting with remote APIs to fetch specialized documentation or live external data

About

Key Features

Grep-style search functionality to quickly find specific tools across all servers
Seamlessly integrate with stdio and HTTP-based MCP servers
0 GitHub stars
Discover available servers and inspect tool schemas directly from the CLI
Execute tools with complex JSON arguments via standard input or files
Output formatting options including raw text and JSON for easy scripting and piping

Use Cases

Building complex data processing pipelines by chaining MCP tool outputs with shell commands
Automating filesystem operations like searching and reading files across multiple directories
Interacting with remote APIs to fetch specialized documentation or live external data