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Granola MCP Server

proofsh/granola-mcp-server

93 starsSTDIOMITUpdated 2026-07-07Community

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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

claude mcp add granola -- uvx granola-mcp-server

Summary

The Granola MCP server bridges Granola.ai meeting intelligence with MCP clients like Claude Code and Claude Desktop.

Connect from your MCP client

One-click install

Add this server to your editor with a single click. Fill in any required credentials afterward.

Install in Cursor Install in VS Code

Claude Code

Run this once and Claude Code registers the server for you:

claude mcp add granola -- uvx granola-mcp-server

Claude Desktop

Add this to claude_desktop_config.json under Settings → Developer → Edit Config:

{
  "mcpServers": {
    "granola": {
      "command": "uvx",
      "args": [
        "granola-mcp-server"
      ],
      "env": {
        "GRANOLA_PARSE_PANELS": "<GRANOLA_PARSE_PANELS>"
      }
    }
  }
}

Cursor

Add this to .cursor/mcp.json in your project (or ~/.cursor/mcp.json for all projects):

{
  "mcpServers": {
    "granola": {
      "command": "uvx",
      "args": [
        "granola-mcp-server"
      ],
      "env": {
        "GRANOLA_PARSE_PANELS": "<GRANOLA_PARSE_PANELS>"
      }
    }
  }
}

Cline and other MCP clients

Most MCP clients accept the standard mcpServers JSON block:

{
  "mcpServers": {
    "granola": {
      "command": "uvx",
      "args": [
        "granola-mcp-server"
      ],
      "env": {
        "GRANOLA_PARSE_PANELS": "<GRANOLA_PARSE_PANELS>"
      }
    }
  }
}

Codex CLI

codex mcp add granola --env GRANOLA_PARSE_PANELS=<GRANOLA_PARSE_PANELS> -- uvx granola-mcp-server

# or add to ~/.codex/config.toml:
[mcp_servers.granola]
command = "uvx"
args = ["granola-mcp-server"]
[mcp_servers.granola.env]
GRANOLA_PARSE_PANELS = "<GRANOLA_PARSE_PANELS>"

OpenClaw

OpenClaw reads MCP servers from the mcp.servers section of ~/.openclaw/openclaw.json (managed via `openclaw mcp add` or the mcporter skill):

{
  "mcp": {
    "servers": {
      "granola": {
        "command": "uvx",
        "args": [
          "granola-mcp-server"
        ],
        "env": {
          "GRANOLA_PARSE_PANELS": "<GRANOLA_PARSE_PANELS>"
        }
      }
    }
  }
}

Replace the <PLACEHOLDER> values with your own credentials — see the configuration table below.

Configuration

Granola MCP Server reads the following environment variable:

Variable	Required
GRANOLA_PARSE_PANELS	Optional

Overview

The Granola MCP server bridges Granola.ai meeting intelligence with MCP clients like Claude Code and Claude Desktop. It reads your local Granola cache, so an agent can search meetings, pull full transcripts with speaker identification, fetch meeting notes and documents, and analyze patterns across topics and participants — all without sending data to a third party.

Key Features

search_meetings — query meetings by title, content, and participants
get_meeting_details — retrieve meeting metadata
get_meeting_transcript — full conversations with speaker identification
get_meeting_documents — associated notes and structured content
analyze_meeting_patterns — trends across topics, participants, and frequency
Fully local; no API keys required

Granola also offers an official hosted remote MCP at https://mcp.granola.ai/mcp (browser OAuth); this community server is the leading open-source, local-first alternative.

Installation

claude mcp add granola -- uvx granola-mcp-server

Granola MCP Server tools

Granola MCP Server exposes 5 tools documented in the project README.

Name	Description
search_meetings	query meetings by title, content, and participants
get_meeting_details	retrieve meeting metadata
get_meeting_transcript	full conversations with speaker identification
get_meeting_documents	associated notes and structured content
analyze_meeting_patterns	trends across topics, participants, and frequency

Configuration

These tools read the following environment variable (see the Overview tab for full install configs):

Variable	Required
GRANOLA_PARSE_PANELS	Optional

Score

0–100

73/ 100

Grade

Popularity7/25

93 GitHub stars — early adoption.

Maintenance20/20

Updated within the last 90 days.

Completeness20/20

Complete metadata: install, license, description, config, and tags.

Trust6/15

Community server with a public source repository.

Security20/20

No security flags from available signals. No significant destructive tool surface detected.

Scored automatically from popularity, maintenance, completeness, trust, and security. How we score →

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

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