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Mcp Builder

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shajith003·vlatest·agents

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

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This skill no longer installs under the name mcp-builder. shajith003/awesome-claude-skills is deleted or private, so it cannot be installed from.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

shajith003

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 shajith003/awesome-claude-skills at 65820933dc.

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

Commit
65820933dc
Manifest
mcp-builder/SKILL.md
Scanned
9 files, 3,891 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 AI agents to construct and manage Model Context Protocol (MCP) servers, allowing them to dynamically connect with external data sources and tools. It streamlines the process of defining server configurations and establishing secure communication channels for enhanced agent capabilities.

When to use it

  • You need an agent to access real-time data from databases or APIs without hardcoding credentials.
  • You are building a custom workflow that requires dynamic tool discovery based on MCP standards.
  • You want to extend an AI agent's functionality by integrating third-party services via the Model Context Protocol.
  • You require a standardized way to manage server connections across multiple agent instances.

Key capabilities

  • Constructs functional MCP servers from defined configurations.
  • Manages server lifecycle operations including initialization and connection handling.
  • Facilitates secure communication between AI agents and external resources.
  • Supports dynamic tool registration for expanded agent autonomy.

Example prompts

  • "Create an MCP server configuration to connect my agent to a PostgreSQL database."
  • "Build a new MCP server that exposes weather API tools to my assistant."
  • "Generate the necessary setup files for an MCP server integrating with my local file system."

Tips & gotchas

Ensure your AI agent has proper permissions to access external resources before attempting to build an MCP server. Verify that the target data source supports the Model Context Protocol specification to avoid compatibility issues during server initialization.