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Mcp Cli

Official
github·vlatest·agents·MIT

Official github skill for MCP tools — helps with orchestrating AI agents and multi-step workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add github/awesome-copilot --skill mcp-cli -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

github

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned github/awesome-copilot at 6c4d33b9cf.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
6c4d33b9cf
Manifest
skills/mcp-cli/SKILL.md
Scanned
1 file, 77 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The mcp-cli tool provides command-line interface capabilities for managing and interacting with AI agents, enabling users to perform tasks such as deploying models, configuring environments, and monitoring agent behavior directly from the terminal.

When to use it

  • Automating repetitive agent management tasks like deployment or configuration.
  • Debugging or troubleshooting AI agent workflows through direct CLI access.
  • Integrating AI agent operations into CI/CD pipelines for continuous development and testing.

Key capabilities

  • Command-line interface for managing AI agents
  • Deployment and configuration of models
  • Monitoring and logging of agent behavior

Example prompts

  • "Deploy the latest version of the model using mcp-cli."
  • "Show me the status of all running agents."
  • "Configure the environment variables for my AI agent."

Tips & gotchas

Ensure that you have the correct permissions and dependencies installed before using mcp-cli. Some advanced features may require specific runtime environments or additional plugins.