# meeting-summary-mcp

> meeting-summary-mcp — linyongbin570490267-cpu-meeting-summary-mcp. Use this tool when you need to automatically generate structured meeting minutes from various sources, such as Feishu meeting links or transcripts, to streamline note-taking and organization. It solves problems of manual note-taking and information overload by providing summaries and action items organized by department. The tool takes meeting links, date ranges, or transcripts as input and outputs organized meeting minutes with actionable insights.

Canonical page: https://skillsregistry.net/skills/linyongbin570490267-cpu-meeting-summary-mcp  
JSON: https://api.skillsregistry.net/v1/skills/linyongbin570490267-cpu-meeting-summary-mcp

## Description

Enables automatic generation of structured meeting minutes from Feishu meeting links, date ranges, or arbitrary meeting transcripts, with summaries and action items organized by department.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w7oib7vffh)
- **Repository:** <https://github.com/linyongbin570490267-cpu/meeting-summary-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": "linyongbin570490267-cpu-meeting-summary-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/linyongbin570490267-cpu-meeting-summary-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/linyongbin570490267-cpu-meeting-summary-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