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Mcp Installer

Checked
igorwarzocha·vlatest·agents

Provides MCP tools guidance and assistance for 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 igorwarzocha/opencode-workflows --skill mcp-installer -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

igorwarzocha

Taken from the source listing. We haven't verified who controls this account.

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 igorwarzocha/opencode-workflows at 6444ec4aac.

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

Commit
6444ec4aac
Manifest
cowork/.opencode/skill/mcp-installer/SKILL.md
Scanned
44 files, 2,904 lines
Copies in repo
2 — all of them scanned
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-installer skill enables AI agents to automatically discover and install Model Context Protocol (MCP) servers. It bridges the gap between agent capabilities and external data sources by dynamically loading new tools and resources without manual configuration.

When to use it

  • You need an agent to access real-time data from specific APIs or databases via MCP servers.
  • Your workflow requires dynamic tooling where new capabilities must be added at runtime.
  • You are building a multi-agent system that needs standardized context sharing through the Model Context Protocol.
  • You want to extend an agent's functionality beyond its pre-defined base set of tools.

Key capabilities

  • Discovers available MCP servers from a configured registry or source.
  • Installs selected MCP servers directly into the agent environment.
  • Manages server dependencies and versions automatically.
  • Enables agents to interact with external systems through standardized protocols.

Example prompts

  • "Install the GitHub MCP server so I can analyze my repository structure."
  • "Discover all available data analysis MCP servers and install the one for Pandas."
  • "Configure my agent to use the Slack MCP server for sending notifications."

Tips & gotchas

Ensure your environment has network access to the registry where MCP servers are hosted, as installation requires fetching external resources. Verify that the installed servers are compatible with your specific AI agent framework before relying on them for critical workflows.