Based on FeiShu(飞书) / Lark's OpenAPI MCP server, manage user information, chats, emails, cloud documents, multidimensional tables, tasks, calendars, etc.
数据来源：ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一：命令行安装（推荐）
推荐（无需提前安装 clawhub）
npx clawhub@latest --dir ~/.claude/skills install mcp-lark或使用 clawhub CLI（需提前安装）
clawhub --dir ~/.claude/skills install mcp-lark⚠️ 需要 Node.js 18+，没有 Node？请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二：手动下载安装（无需 Node）
下载 ZIP，解压后将文件夹放到以下路径，重启 Agent 即可：
安装路径
~/.claude/skills/mcp-lark/💡解压后将文件夹放到上方路径，重启 Agent 即可生效
--- name: mcp-lark description: Based on FeiShu(飞书) / Lark's OpenAPI MCP server, manage user information, chats, emails, cloud documents, multidimensional tables, tasks, calendars, etc. homepage: https://github.com/aahl/skills/blob/main/skills/mcp-lark/SKILL.md metadata: { "openclaw": { "emoji": "💼", "requires": { "anyBins": ["mcporter", "npx"], "env": ["LARK_MCP_SERVERS"] }, "primaryEnv": "LARK_MCP_SERVERS", "install": [ { "id": "node", "kind": "node", "package": "mcporter", "bins": ["mcporter"], "label": "Install mcporter (node)", }, ], }, } ---
Need to login to the Lark MCP Configuration Platform to add MCP services, obtain the MCP URL, and configure it into 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.
# 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;
'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>")'npx -y mcporter call 'open.larksuite.com/mcp/stream/<token>.<tool_name>' param1:"value1" foo:"bar"mcporterTo improve compatibility, use npx -y mcporter instead of mcporter when executing commands.
安装 Lark / Feishu Skill via OpenAPI MCP servers (300+ tools) 后，可以对 AI 说这些话来触发它
Send a Slack message to the #engineering channel about the deployment
Formats and sends the message with relevant context, tagging the right people
Summarize all unread messages in my inbox from today
Reads messages across connected channels and returns a prioritized summary
Draft a reply to this customer complaint and send it for review
Writes an empathetic, professional response and routes it to the approval queue
将技能文件夹放到 ~/.claude/skills/mcp-lark/ 目录（个人级，所有项目可用），或 .claude/skills/mcp-lark/（项目级）。重启 AI 客户端后，用 /mcp-lark 主动调用，或让 AI 根据上下文自动发现并使用。
Lark / Feishu Skill via OpenAPI MCP servers (300+ tools) 支持 Claude、Cursor、OpenClaw，可与这些 AI 平台无缝集成，扩展其能力。
Lark / Feishu Skill via OpenAPI MCP servers (300+ tools) 可免费安装使用。请查阅仓库了解许可证信息。
Based on FeiShu(飞书) / Lark's OpenAPI MCP server, manage user information, chats, emails, cloud documents, multidimensional tables, tasks, calendars, etc.
Lark / Feishu Skill via OpenAPI MCP servers (300+ tools) 属于「Communication」分类，该分类的技能帮助 AI 智能体在此领域执行专业任务。