# Granola MCP Server

> Use this tool when you need to analyze and search meeting transcripts, notes, and summaries, and integrate meeting intelligence with desktop applications. It solves problems of information retrieval and meeting insights by allowing natural language queries to retrieve meeting details and analyze participant patterns. The tool takes in meeting data and outputs searchable transcripts, notes, and summaries, making it ideal for use cases where meeting intelligence and analysis are crucial.

Canonical page: https://skillsregistry.net/skills/maxgerlach1-granola-ai-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/maxgerlach1-granola-ai-mcp-server

## Description

Integrates local Granola.ai meeting intelligence with Claude Desktop to enable searching and analyzing meeting transcripts, notes, and summaries. Users can perform natural language queries to retrieve meeting details, analyze participant patterns, and access full speaker-identified conversations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tweyhr5778)
- **Repository:** <https://github.com/maxgerlach1/granola-ai-mcp-server>

## 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": "maxgerlach1-granola-ai-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/maxgerlach1-granola-ai-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/maxgerlach1-granola-ai-mcp-server/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