# feishu-mcp-server

> Use this tool when you need to manage and analyze complex data in a multi-dimensional table format, solving problems such as data visualization and business intelligence. It provides an interface for inputting and outputting data, enabling users to create custom tables and dashboards. Ideal for use cases where data-driven decision making is crucial, such as business operations and project management.

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

## Description

飞书多维表格

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ahs1yx1802)
- **Repository:** <https://github.com/DarkNoah/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": "darknoah-feishu-mcp"
    }
  }
}
```

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