Granola

Community

win4r

granola

Search and read Granola meeting notes and transcripts through Granola's OAuth-backed MCP server.

Overview

Publisher	win4r
Repository	`MuseAI-Skills`
Skill name	`granola`
Stars	382
Forks	116
Bundled files	1
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by win4r on GitHub. Read the source before you install it.

Installation

Install the Granola AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/granola
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/win4r/MuseAI-Skills.git /tmp/MuseAI-Skills
mkdir -p .claude/skills
cp -r /tmp/MuseAI-Skills/opt/hatch/skills/granola .claude/skills/granola

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Granola in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Granola on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Granola is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Granola

Purpose

Search Granola meeting notes, summaries, and transcripts through the hosted Granola MCP server (https://mcp.granola.ai/mcp).

Tooling

Use exec to run:

sh
granola-cli <subcommand> [options]

Connection management

sh
granola-cli status
granola-cli authorize-url
granola-cli exchange-code --code <code> [--redirect-uri <url>]
granola-cli refresh
granola-cli disconnect

MCP operations

sh
granola-cli list-tools
granola-cli call-tool --name <tool> --arguments-json '<json-object>'

--arguments-json must be a JSON object; arrays or scalars are rejected. Use list-tools first to discover the tool catalogue and each tool's input_schema.

Auth

OAuth is handled by authd via Dynamic Client Registration + PKCE (S256). The credential stays behind authd; do not read or edit connector auth files.

First-use setup flow

Run granola-cli status.
If status is not_connected, run granola-cli authorize-url. When connect_url is present, replace <connect_url> with the returned URL and share exactly this Markdown link: [Connect Granola](<connect_url>); do not paste the raw URL separately. Wait for the user to complete authorization.
After the user authorizes, the browser is redirected via the Muse relay back to this VM, and authd completes the code exchange automatically. The agent resumes once the token lands.
Re-run granola-cli status. When status flips to connected the output also includes the discovered MCP tool catalogue.

For manual environments where the relay is not wired up, call granola-cli exchange-code --code <auth-code> after receiving the code.

Operating Rules

Run granola-cli status before any MCP work. If not connected, complete the setup flow first.
Call list-tools before call-tool unless you already know the tool name and its argument shape. Never guess tool names.
arguments-json must be a JSON object; wrap every argument appropriately.
Prefer query_granola_meetings for natural-language questions, list_meetings for metadata, get_meetings for known meeting IDs, and get_meeting_transcript only when the user needs verbatim detail. Use get_account_info to answer which account/workspace is connected and, when results come back empty, to check mcp_note_access.scopes — a workspace whose MCP access is public-only excludes personal notes. list_meetings defaults to the last 30 days; when it returns zero meetings, retry with time_range: "custom" plus custom_start and custom_end before concluding the account has no meetings, and use list_meeting_folders to see what the workspace actually holds.
Preserve Granola citation links in user-facing answers.
Do not use Granola for calendar scheduling or upcoming-event planning.
Token refresh happens automatically on 401. If call-tool keeps failing with unauthorized, run granola-cli refresh explicitly or ask the user to re-authorize.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

manifest.yaml2 KB

Frequently asked questions

What does the Granola AI skill do?

Search and read Granola meeting notes and transcripts through Granola's OAuth-backed MCP server.

Why use Granola on TypingMind?

Because you install it once and use it with any model. Granola is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Granola in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/granola. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Granola?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Granola?

As many as you like. As long as a model supports skills, you can use Granola with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Granola AI skill free?

It is published on GitHub by win4r. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Feishu Perm

openclaw

OrganizationPopular

Feishu collaborator and permission workflows. Activate when the user explicitly asks to inspect or change sharing, permissions, or collaborators.

Block Kit

Use proactively for structured or interactive Slack replies, and when asked to author or validate native Slack Block Kit JSON.

1password

Set up and use 1Password CLI for sign-in, desktop integration, and reading or injecting secrets.

Apple Reminders

List, add, edit, complete, or delete Apple Reminders and reminder lists via remindctl.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Granola

Purpose

Tooling

Connection management

MCP operations

Auth

First-use setup flow

Operating Rules

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now