# Granola

> Use this tool when you need to quickly search and retrieve meeting insights, action items, and decisions from your notes using natural language. It solves problems of disorganization and information overload by providing easy access to verbatim transcripts and summaries, keeping stakeholders informed and up-to-date on project progress. Ideal for use after meetings, when reviewing project history, or when verifying details with stakeholders.

Canonical page: https://skillsregistry.net/skills/granola  
JSON: https://api.skillsregistry.net/v1/skills/granola

## Description

Search meeting insights and action items directly from your notes using natural language. Stay updated on project decisions and follow-ups across your entire meeting history. Access verbatim transcripts and summaries to verify details and keep stakeholders informed.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/granola)

## 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": "granola"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/granola` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/granola/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