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Mcp Integration

Official
anthropics·vlatest·agents·Apache-2.0

Official anthropics skill covering MCP tools, integration 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 anthropics/claude-plugins-official --skill mcp-integration -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

anthropics

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: mcp.github.com.

    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.

    Hosts contacted

    mcp.github.comundeclared

    What it found

    • plugins/plugin-dev/skills/mcp-integration/examples/sse-server.json:5contacts mcp.github.com
      "url": "https://mcp.github.com/sse"

  • 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 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 anthropics/claude-plugins-official at 921c90ff92.

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

Commit
921c90ff92
Manifest
plugins/plugin-dev/skills/mcp-integration/SKILL.md
Scanned
7 files, 2,037 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 integration with the Anthropic MCP (Model Control Plane), allowing AI agents to interact with and manage multiple models through a unified interface. It supports dynamic model switching, performance monitoring, and policy enforcement across different models.

When to use it

  • When managing multiple AI models in a single application or workflow.
  • When you need to enforce specific usage policies for different models.
  • When optimizing model selection based on real-time performance metrics.
  • When building scalable agent systems that require seamless switching between models.

Key capabilities

  • Dynamic model routing and switching
  • Real-time performance monitoring of models
  • Policy enforcement (e.g., rate limits, access controls)
  • Unified interface for multiple Anthropic models

Example prompts

  • "Switch to the Claude 3 Sonnet model for this task."
  • "Monitor the response latency of all active models."
  • "Enforce a 100 request-per-minute limit on the Claude 2 model."

Tips & gotchas

  • Ensure you have proper API access and authentication set up with Anthropic.
  • Model performance metrics may vary, so test thoroughly before enforcing policies in production.