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Mcp Builder

Official
mcp-use·vlatest·agents·MIT

Provides MCP tools guidance and assistance for orchestrating AI agents and multi-step workflows.

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 mcp-use/mcp-use --skill mcp-builder -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

mcp-use

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 mcp-use/mcp-use at 33f2c32982.

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

Scanned
9 files, 451 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 Builder skill enables users to create and customize AI agents with specific roles, behaviors, and capabilities. It provides tools for defining agent personalities, setting up workflows, and integrating external functions or data sources.

When to use it

  • When you need to build a custom AI agent tailored to a specific task or industry.
  • To streamline the process of configuring multiple agents with consistent behavior and rules.
  • When designing an agent that requires integration with APIs or databases for real-time data access.

Key capabilities

  • Customizable agent personality and role definitions
  • Workflow configuration and automation setup
  • Integration with external tools and data sources

Example prompts

  • "Create an AI agent that acts as a customer support representative with access to our ticketing system."
  • "Set up an agent for financial analysis that pulls real-time stock market data."
  • "Design an agent with a friendly, conversational tone for use in a healthcare chatbot."

Tips & gotchas

  • Ensure you have the necessary API keys or database credentials before integrating external tools.
  • Start with simple configurations and gradually add complexity to avoid overwhelming the system.