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Mcp Tool Discovery

Checked
groeimetai·vlatest·agents·Apache-2.0

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 serac-labs/serac --skill mcp-tool-discovery -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

groeimetai

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 groeimetai/snow-flow at af3ad2b3c0.

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

Commit
af3ad2b3c0
Manifest
packages/skills/mcp-tool-discovery/SKILL.md
Scanned
1 file, 358 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

This skill enables AI agents to discover and install new capabilities dynamically. It allows agents to expand their functionality by finding relevant tools or skills from available registries without requiring manual configuration updates.

When to use it

  • You need an agent to adapt to new workflows or data sources on the fly.
  • Your environment requires frequent updates to available tools, making static definitions impractical.
  • You want to automate the process of equipping agents with necessary MCP (Model Context Protocol) tools.
  • You are building a flexible system where agent capabilities must scale based on user needs.

Key capabilities

  • Dynamically searches for compatible skills or tools within an ecosystem.
  • Facilitates the installation of discovered skills directly into the agent's context.
  • Supports integration with Model Context Protocol (MCP) standards for tool interoperability.

Example prompts

  • "Find and install a skill that allows this agent to analyze financial spreadsheets."
  • "Discover available tools for connecting to our internal Slack workspace and set them up."
  • "Locate a new data processing skill compatible with my current MCP configuration and add it."

Tips & gotchas

Ensure your agent has network access to the registry where skills are hosted, as discovery relies on external availability. Verify that discovered skills are compatible with your specific version of the Model Context Protocol before installation to prevent runtime errors.