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Mcp Integration

Listed
davila7·vlatest·agents·MIT

Helps with MCP tools, integration as part of orchestrating AI agents and multi-step workflows workflows.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it MCP Integration, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --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

davila7

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 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 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: mcp.asana.com, 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.asana.comundeclaredmcp.github.comundeclared

    What it found

    • cli-tool/components/skills/development/mcp-integration/examples/sse-server.json:5contacts mcp.asana.com
      "url": "https://mcp.asana.com/sse"
    • cli-tool/components/skills/development/mcp-integration/examples/sse-server.json:9contacts 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 davila7/claude-code-templates at 79182c51fb.

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

Scanned
7 files, 2,043 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

MCP Integration

What it does

This skill enables AI agents to connect with external tools and data sources via the Model Context Protocol (MCP), expanding their operational scope beyond internal knowledge. It facilitates seamless communication between the agent and various services to retrieve real-time information or execute specific actions.

When to use it

  • You need an agent to access live data from databases, file systems, or APIs that aren't part of its base training.
  • You want to automate workflows by allowing the agent to trigger external functions or services dynamically.
  • Your agent requires a standardized way to interact with multiple different tools without custom coding for each connection.
  • You are building an autonomous system that needs to fetch context from diverse environments before making decisions.

Key capabilities

  • Tool Discovery: Automatically identifies available tools and resources connected via MCP servers.
  • Context Enrichment: Retrieves up-to-date information from external sources to inform agent responses.
  • Action Execution: Allows the agent to perform tasks on linked services directly through the protocol.
  • Standardized Interface: Provides a unified method for connecting disparate systems using the Model Context Protocol.

Example prompts

  • "Connect to my local database and summarize the sales figures from last month."
  • "Check the current status of the deployment pipeline in our CI/CD server."
  • "Read the latest configuration file from the shared network drive and apply these changes."

Tips & gotchas

Ensure your external services are properly configured as MCP servers before attempting to connect, as the integration relies on this handshake. Be aware that access permissions depend entirely on the credentials and security settings of the connected external tools.