KAIpany/Lark-MCP-KAIpany

Enables AI assistants to interact with Feishu/Lark platform through comprehensive OpenAPI integration, supporting message management, document operations, calendar scheduling, group chats, Bitable operations, and more automation scenarios with dual authentication support.

→ KAIpany/Lark-MCP-KAIpany · listed on glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find.

Install from

Glama

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// key findings

⚠️

Known vulnerabilities in dependencies: 16 high

Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

🔐

You'll be asked for 1 credential: APP_SECRET

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configAPP_ID— export =cli_xxxx

🔐 secretAPP_SECRET— export =yyyyy

configLARK_DOMAIN

configLARK_TOKEN_MODE

configLARK_TOOLS

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 2 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/kaipany-lark-mcp-kaipany-8uqyh0)](https://m8ven.ai/mcp/kaipany-lark-mcp-kaipany-8uqyh0)

commit: 27effa8a548ca280bb3e3de0f0446a501323fd2a

code hash: 777f5914400216f09376e7f42eb00c6c6a9c7e63ec888a8003b9d244929f048d

verified: 6/18/2026, 11:15:00 AM

view raw JSON →