Does this skill handle authentication?

Yes, it supports OAuth login (human-initiated), Bearer tokens, and saved auth profiles to ensure secure connections to protected MCP servers.

Is it safe to use for destructive actions?

The skill follows a strict trust pattern: it can perform read-only actions automatically but requires explicit user permission for any commands that create, update, or delete data.

How does this differ from standard tool calling?

It uses shell-based commands and persistent sessions, which are often more efficient and easier to script than raw JSON function calls, especially for repeated interactions.

mcpc is a command-line client for the Model Context Protocol that allows for faster and more flexible interaction with MCP servers compared to standard function calling.

Can I use this with local MCP servers?

Absolutely, mcpc supports local HTTP servers, direct HTTPS connections, and configuration-based server lists defined in your project.

MCP Command-Line Integration

Name: MCP Command-Line Integration
Author: aufrank

byaufrank

Developer Tools

Manages Model Context Protocol (MCP) server interactions using the mcpc CLI for efficient tool calling and resource access.

About

This skill enables Claude to interact directly with MCP servers via the mcpc command-line client, offering a high-performance alternative to standard function calling. It allows for managing persistent sessions, executing tool calls with shorthand key-value bindings, accessing remote resources, and handling authentication profiles. By leveraging the mcpc CLI, the skill streamlines workflows with external data sources and tools while maintaining strict security protocols for OAuth and destructive actions, making it ideal for developers building complex agentic workflows.

Key Features

Persistent session management for low-latency MCP interactions
Full support for MCP resources, prompts, and tool discovery
JSON output mode for seamless scripting and data piping
0 GitHub stars
Shorthand key:=value syntax for rapid tool execution
Integrated authentication handling including OAuth and Bearer tokens

Use Cases

Bridging AI agents to remote systems via the Model Context Protocol
Accessing and processing remote data resources using shell pipes and jq
Automating complex workflows across multiple remote MCP servers

About

Key Features

Persistent session management for low-latency MCP interactions
Full support for MCP resources, prompts, and tool discovery
JSON output mode for seamless scripting and data piping
0 GitHub stars
Shorthand key:=value syntax for rapid tool execution
Integrated authentication handling including OAuth and Bearer tokens

Use Cases

Bridging AI agents to remote systems via the Model Context Protocol
Accessing and processing remote data resources using shell pipes and jq
Automating complex workflows across multiple remote MCP servers