AgentIndex icon
AgentIndex
ToolsCategoriesTrendingNewCompare
Submit Tool
ToolsCategoriesTrendingNewCompare
Home/
Compare/
n8n-mcp vs gum
n8n-mcp logo
n8n-mcp
★ 22.4k
vs
gum logo
gum
★ 29

n8n-mcp vs gum

n8n-mcp: n8n-MCP is a Model Context Protocol server that bridges n8n's workflow automation with AI models, offering deep knowledge of n8n nodes, properties, and operations. It enables AI assistants like Claude to understand and build n8n workflows effectively by providing structured access to documentation and real-world examples.; gum: gum is a single binary CLI tool designed to provide a safer and more efficient interface for agents and humans to interact with Google APIs. It features an embedded API catalog, local authentication helpers, and risk gates, significantly reducing the complexity and token usage associated with direct Google API interactions.

01

TL;DR

n8n-mcp logoChoose n8n-mcp if…

Empowering AI assistants (like Claude) with deep n8n knowledge to design workflows

gum logoChoose gum if…

Allowing AI agents to safely inspect and interact with Google Workspace services like Gmail, Drive, and Calendar.

02

Side-by-Side Comparison

Field
n8n-mcp logon8n-mcp
gum logogum
Category
RAG / Knowledge Base
API Integration
Stars
★ 22.4k
★ 29
License
MIT
NOASSERTION
Updated
1d ago
1mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
n8n, Workflow Automation, AI Tools
Google API Management, CLI Tool, Agent Integration
03

Features

n8n-mcp logon8n-mcp
01Comprehensive access to 1,084 n8n nodes (core and community)
02Detailed node properties with 99% coverage and operation coverage up to 63.6%
03Extensive documentation from official n8n sources (87% coverage)
04Discovery of 265 AI-capable tool variants with full documentation
05Access to 2,646 real-world examples and 2,709 workflow templates
gum logogum
01Provides a safer control surface for Google APIs with built-in risk gates and confirmations.
02Includes an embedded Google API catalog of 222 operations across 32 services.
03Manages local authentication (OAuth, ADC, API keys) without exposing tokens in prompts.
04Optimizes output shaping and reduces MCP-layer tokens by over 80% for agent interactions.
05Operates as both a terminal CLI and an MCP stdio server for agent integration.
04

Use Cases

n8n-mcp logon8n-mcp
↳Empowering AI assistants (like Claude) with deep n8n knowledge to design workflows
↳Automating the creation and validation of n8n workflows through AI
↳Providing structured, real-time access to n8n node documentation for AI-driven development
gum logogum
↳Allowing AI agents to safely inspect and interact with Google Workspace services like Gmail, Drive, and Calendar.
↳Automating tasks and workflows involving various Google APIs (e.g., Admin, Vault, Google Ads) without custom tool development.
↳Securely managing and using Google API credentials in agent-driven workflows, keeping secrets out of prompts.
↳Developers and power users exploring Google API operations and making read/write/destructive calls from the command line.
05

Best For

n8n-mcp logon8n-mcp
Most PopularTrending
gum logogum
—
FAQ

FAQ

What is the difference between n8n-mcp and gum?
Both n8n-mcp and gum are in the RAG / Knowledge Base category. n8n-mcp has 22.4k stars, while gum has 29 stars.
Which is better, n8n-mcp or gum?
The best choice depends on your use case. Choose n8n-mcp if Empowering AI assistants (like Claude) with deep n8n knowledge to design workflows, and gum if Allowing AI agents to safely inspect and interact with Google Workspace services like Gmail, Drive, and Calendar..
Is n8n-mcp free or open source?
Yes, n8n-mcp is open source on GitHub (MIT).
Is gum free or open source?
Yes, gum is open source on GitHub (NOASSERTION).
→

Related

Alternatives to n8n-mcp →Alternatives to gum →n8n-mcp details →gum details →
© 2026 AgentIndex.app|Built by a 10-year iOS Developer.
QYSGitHubBuy me a coffee ☕

Browse by Category

Code AssistantWorkflow AutomationRAG / Knowledge BaseMulti-AgentBrowser AutomationLLM InfraDev ToolingObservability

Not affiliated with Anthropic, OpenAI or Microsoft.