# lark-hermes-mcp

> Use this tool when you need to integrate Feishu/Lark capabilities into MCP-compatible agents, such as Hermes and Claude Desktop, to streamline messaging, document management, calendar operations, and task management. It provides 57 function tools, including hand-written fallback tools and bridged OpenClaw SDK functionality, to enhance agent capabilities. This tool is ideal for use cases where seamless communication and collaboration are required, with inputs including agent requests and outputs comprising executed actions and data exchanges.

Canonical page: https://skillsregistry.net/skills/williammo101-lark-hermes-mcp  
JSON: https://api.skillsregistry.net/v1/skills/williammo101-lark-hermes-mcp

## Description

An MCP server that exposes Feishu/Lark capabilities as function tools to MCP-compatible agents like Hermes and Claude Desktop. It provides 57 tools for messaging, document management, calendar operations, and task management through both hand-written fallback tools and bridged OpenClaw SDK functionality.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kvj1bqf5mf)
- **Repository:** <https://github.com/WilliamMo101/lark-hermes-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": "williammo101-lark-hermes-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/williammo101-lark-hermes-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/williammo101-lark-hermes-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