mcp-lark

Based on FeiShu(飞书) / Lark's OpenAPI MCP server, manage user information, chats, emails, cloud documents, multidimensional tables, tasks, calendars, etc.

3,891 stars

byopenclaw

View on GitHub Installation ↓

Best use case

mcp-lark is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Based on FeiShu(飞书) / Lark's OpenAPI MCP server, manage user information, chats, emails, cloud documents, multidimensional tables, tasks, calendars, etc.

Teams using mcp-lark should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/mcp-lark/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/al-one/mcp-lark/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/mcp-lark/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How mcp-lark Compares

Feature / Agent	mcp-lark	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Based on FeiShu(飞书) / Lark's OpenAPI MCP server, manage user information, chats, emails, cloud documents, multidimensional tables, tasks, calendars, etc.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

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SKILL.md Source

# MCP Lark / FeiShu
Need to login to the Lark MCP Configuration Platform to add MCP services, obtain the MCP URL, and configure it into environment variables.
- Lark MCP docs: https://open.larksuite.com/document/mcp_open_tools/call-feishu-mcp-server-in-remote-mode
- 飞书 MCP 文档: https://open.feishu.cn/document/mcp_open_tools/end-user-call-remote-mcp-server

## Environment variables
Prioritize fetching from `.env` under the workspace, then use system environment variables. If not configured, ask the user for input and update it to `.env`.
```shell
# Configure multiple MCP service URLs and usage scenarios in environment variables
LARK_MCP_SERVERS='
open.larksuite.com/mcp/stream/xxx:Chats and Mails;
open.larksuite.com/mcp/stream/yyy:Cloud documents;
'
```

## List of available tools
```shell
npx -y mcporter list 'open.larksuite.com/mcp/stream/<token>' --all-parameters

# Get the schema of the specified tool
npx -y mcporter list 'open.larksuite.com/mcp/stream/<token>' --json | jq '.tools[] | select(.name == "<tool_name>")'
```

## Call specified tool
```shell
npx -y mcporter call 'open.larksuite.com/mcp/stream/<token>.<tool_name>' param1:"value1" foo:"bar"
```

## References
- Sent message content: references/message_create.md

## About `mcporter`
To improve compatibility, use `npx -y mcporter` instead of `mcporter` when executing commands.

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