Can I use this skill with Docker-based MCP servers?

Yes, the mcp-cli supports running servers via Docker, allowing you to pass environment variables and tokens securely for tools like the official GitHub MCP server.

Does this skill support authentication for remote MCP servers?

Yes, it includes built-in support for HTTP Basic Auth and Bearer Tokens, making it compatible with secured remote MCP endpoints and cloud services.

What is the main benefit of using mcp-cli over permanent integrations?

It prevents context window pollution by only loading and using MCP tools when explicitly needed, rather than keeping them active and consuming tokens throughout the entire session.

How do I handle complex JSON parameters in tool calls?

You can pass JSON strings directly via the --params flag using single quotes to prevent shell expansion, or for very complex objects, write them to a file and read them into the command.

How can I restrict what the MCP tools are allowed to do?

The mcp-cli includes a 'guard' feature that allows you to define allow/deny patterns for tools, enabling you to restrict operations to read-only or specific directories.

MCP CLI: On-Demand Integrations

Name: MCP CLI: On-Demand Integrations
Author: tianzecn

bytianzecn

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Herramientas para Desarrolladores

Dynamically discovers and invokes Model Context Protocol (MCP) server capabilities without the need for permanent configuration or context pollution.

Acerca de

The mcp-cli skill empowers Claude Code users to interact with any MCP server on-the-fly using the specialized mcp command-line interface. It streamlines the process of exploring server capabilities, testing new tools, and accessing specific data sources like GitHub, Brave Search, or local filesystems without cluttering the AI's permanent context window. By providing a standardized workflow for discovery, aliasing, and secure execution, it bridges the gap between static integrations and dynamic, on-demand resource access for a more efficient development environment.

Características Principales

Security guarding to restrict tool access and operations
1 GitHub stars
Support for multiple transport layers including Stdio, HTTP, and SSE
On-demand tool execution with flexible JSON parameter support
Dynamic discovery of MCP tools, resources, and prompts on-demand
Server aliasing for simplified, repeatable multi-step workflows

Casos de Uso

Unified management of diverse data sources like GitHub, Puppeteer, and Memory via a single CLI
Executing one-off calls to resource-heavy servers to preserve context window space
Exploring and debugging new MCP servers before committing to a permanent integration

Acerca de

Características Principales

Security guarding to restrict tool access and operations
1 GitHub stars
Support for multiple transport layers including Stdio, HTTP, and SSE
On-demand tool execution with flexible JSON parameter support
Dynamic discovery of MCP tools, resources, and prompts on-demand
Server aliasing for simplified, repeatable multi-step workflows

Casos de Uso

Unified management of diverse data sources like GitHub, Puppeteer, and Memory via a single CLI
Executing one-off calls to resource-heavy servers to preserve context window space
Exploring and debugging new MCP servers before committing to a permanent integration