# Lark Base

> Use this tool when you need to integrate AI assistants with Lark Base spreadsheet and database functionality to automate data workflows or enable interactive access. It provides direct access to data retrieval, field management, and table manipulation through stdio and SSE transport modes, with support for session management and authentication using app tokens and personal base tokens. Ideal for teams using Lark Base who want to leverage AI capabilities to enhance their collaborative databases and spreadsheets.

Canonical page: https://skillsregistry.net/skills/lark-base  
JSON: https://api.skillsregistry.net/v1/skills/lark-base

## Description

Lark Base MCP server provides AI assistants with direct access to Lark Base (formerly Feishu Bitable) spreadsheet and database functionality through both stdio and SSE transport modes. Built by the Lark Base Team using TypeScript and Node.js, it integrates with Lark's collaboration platform using app tokens and personal base tokens for authentication, enabling operations like data retrieval, field management, and table manipulation. The implementation supports session management for multiple concurrent connections and includes comprehensive type definitions for Lark's field schemas, making it valuable for teams using Lark Base who want to automate data workflows or enable AI assistants to interact with their collaborative databases and spreadsheets.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/lark-base)
- **Repository:** <https://github.com/lark-base-team/lark-base-mcp-node-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lark-base"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lark-base` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lark-base/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt