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Lark Mcp

Listed
whatevertogo·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 whatevertogo/feishuskill --skill lark-mcp -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

whatevertogo

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 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: open.feishu.cn.

    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

    github.comsource hostopen.feishu.cnundeclared

    What it found

    • lark-mcp/plugin.json:31contacts open.feishu.cn
      "url": "https://open.feishu.cn/app"
    • lark-mcp/plugin.json:35contacts open.feishu.cn
      "url": "https://open.feishu.cn/app",

  • 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 whatevertogo/feishuskill at 08e9dddf69.

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

Commit
08e9dddf69
Manifest
lark-mcp/SKILL.md
Scanned
14 files, 1,048 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 lark-mcp skill enables AI agents to interact with Lark (formerly Feishu), a collaborative platform used for communication, task management, and workflow automation. It allows users to send messages, manage tasks, and access data within Lark through an API integration.

When to use it

  • To automate sending notifications or updates to team members via Lark chat channels.
  • For integrating project management workflows by creating and updating tasks directly from AI agent actions.
  • When building internal tools that need real-time communication with a Lark workspace.

Key capabilities

  • Sending messages to Lark chat rooms or users
  • Creating and managing tasks within Lark
  • Accessing data from Lark through API endpoints

Example prompts

  • "Send a message to the #project-team channel in Lark: 'The sprint planning meeting is rescheduled for tomorrow at 10 AM.'"
  • "Create a new task in Lark with title 'Review Q4 reports' and assign it to Alice."
  • "Fetch all open tasks from the 'Engineering' project space in Lark."

Tips & gotchas

  • Ensure you have valid API credentials and proper permissions set up within your Lark workspace.
  • Be mindful of rate limits when making frequent API calls to avoid disruptions in service.