# feishu-memory-mcp

> feishu-memory-mcp — junqiu520-feishu-memory-mcp. Use this tool when you need to augment AI agents with long-term memory and personal knowledge base capabilities. It enables retrieval-augmented generation (RAG) via the Model Context Protocol, allowing agents to store and retrieve information from Feishu (Lark) spreadsheets. This integration solves problems of knowledge retention and recall, providing a robust interface for inputs and outputs in various applications.

Canonical page: https://skillsregistry.net/skills/junqiu520-feishu-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/junqiu520-feishu-memory-mcp

## Description

Enables AI agents to use Feishu (Lark) spreadsheets as long-term memory and personal knowledge base with retrieval-augmented generation (RAG) via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c42edge7d8)
- **Repository:** <https://github.com/junqiu520/feishu-memory-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": "junqiu520-feishu-memory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/junqiu520-feishu-memory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/junqiu520-feishu-memory-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