# Feishu Bitable MCP Server

> Use this tool when you need to interact with multidimensional tables in Feishu (Lark) through MCP tools, solving data management and collaboration problems by enabling listing, reading, searching, and viewing of tables and records. It takes MCP commands as input and outputs table data and records, facilitating streamlined workflow automation. Ideal for use cases requiring seamless integration with Feishu tables, such as data analysis, reporting, and team collaboration.

Canonical page: https://skillsregistry.net/skills/011011100-feishu-mcp  
JSON: https://api.skillsregistry.net/v1/skills/011011100-feishu-mcp

## Description

Enables interacting with Feishu (Lark) multidimensional tables through MCP tools. Supports listing tables, reading records, searching records and apps, and getting views.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gdyn9ngi91)
- **Repository:** <https://github.com/011011100/feishu-mcp>

## 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": "011011100-feishu-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/011011100-feishu-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/011011100-feishu-mcp/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