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Mcp Apps Builder

Official
mcp-use·vlatest·agents·MIT

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 mcp-use/mcp-use --skill mcp-apps-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.

Commit
33f2c32982
Manifest
skills/mcp-apps-builder/SKILL.md
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-apps-builder skill enables users to create and manage custom applications tailored for AI agents. It provides tools for building, configuring, and deploying agent-specific workflows, interfaces, and integrations.

When to use it

  • When you need to develop a specialized application for an AI agent's unique tasks or data processing needs.
  • To streamline the deployment of new features or updates without relying on external development teams.
  • For integrating third-party APIs or tools directly into your agent’s workflow.
  • When creating user-facing interfaces that allow non-technical users to interact with AI agents.

Key capabilities

  • Custom application creation for AI agents
  • Configuration and management of agent workflows
  • Integration with third-party services and APIs
  • Deployment automation for agent-specific applications

Example prompts

  • "Build an app that allows my AI agent to fetch weather data from a public API."
  • "Create a user interface for my agent to manage customer support tickets."
  • "Set up a deployment pipeline for the new application I built for my AI assistant."

Tips & gotchas

  • Ensure you have the necessary permissions and access to any APIs or services you plan to integrate.
  • Test your applications thoroughly before deploying them in production environments.