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Mcp Builder

Checked
guanyang·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 guanyang/open-agent-hub --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

guanyang

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 guanyang/antigravity-skills at 0d6f1e7d3f.

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

Commit
0d6f1e7d3f
Manifest
skills/mcp-builder/SKILL.md
Scanned
9 files, 3,176 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

The mcp-builder tool enables AI agents to dynamically construct and manage Model Context Protocol (MCP) servers. It allows developers to define custom tools, resources, and prompts that extend an agent's capabilities beyond its base knowledge. This skill bridges the gap between static agent configurations and dynamic, context-aware interactions by programmatically generating MCP server specifications.

When to use it

  • You need to equip an AI agent with access to proprietary data sources or internal APIs without hardcoding them directly into the agent prompt.
  • You want to create a reusable framework where different agents can connect to the same set of tools via a standardized MCP interface.
  • You are building a multi-agent system where specific sub-agents require distinct toolsets defined by separate configuration files.
  • You need to rapidly prototype new agent functionalities by defining resources and prompts in code rather than manual setup.

Key capabilities

  • Dynamically generates Model Context Protocol (MCP) server configurations based on user-defined schemas.
  • Supports the definition of custom tools that agents can invoke to perform specific actions.
  • Allows specification of resource types for structured data retrieval within the agent's context window.
  • Enables prompt engineering directly within the MCP configuration to guide agent behavior and output formats.

Example prompts

  • "Create an MCP server configuration that exposes a tool for querying our internal Jira ticket database."
  • "Generate a set of resources and prompts for an agent to summarize PDF documents uploaded to a specific S3 bucket."
  • "Build an MCP definition that allows the agent to execute SQL queries against a PostgreSQL instance with read-only permissions."

Tips & gotchas

Ensure your underlying data sources have proper authentication mechanisms in place before exposing them via MCP, as this skill generates the connection logic but not necessarily the security layer. The generated configurations are static definitions; ensure the target environment supports the specific version of the Model Context Protocol required by your agent framework.