# acai

> acai — felixgeelhaar-acai. Use this tool when you need to integrate meeting intelligence into AI workflows or automation pipelines, as it exposes Granola meeting data as structured, queryable resources. It solves problems related to accessing and utilizing meeting insights for informed decision-making and automated tasks. With Git integration, it accepts meeting data inputs and outputs queryable MCP resources for AI agents.

Canonical page: https://skillsregistry.net/skills/felixgeelhaar-acai  
JSON: https://api.skillsregistry.net/v1/skills/felixgeelhaar-acai

## Description

Go CLI and MCP server that exposes Granola meeting intelligence as structured, queryable MCP resources for AI agents and automation pipelines

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/felixgeelhaar/acai)

## 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": "felixgeelhaar-acai"
    }
  }
}
```

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