Comparison
ai-getting-started vs n8n-mcp
Verdict
Pick ai-getting-started if ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations; pick n8n-mcp if n8n-mcp integrates with AI tools like Claude Desktop, Claude Code, Windsurf, Cursor to manage n8n workflows.
Markdown twin · ai-getting-started alternatives · n8n-mcp alternatives
GraphCanon updated Sep 30, 2026
vs
Trust & integrity
| Signal | ai-getting-started | n8n-mcp |
|---|---|---|
| Maintenance | Dormant (759d since push) As of Sep 20, 2026 · github_public_v1 | Very active (3d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- ai-getting-started
- A Javascript AI getting started stack for weekend projects
- n8n-mcp
- A MCP for Claude Desktop/Claude Code/Windsurf/Cursor to build n8n workflows
Stars
- ai-getting-started
- 4.1k
- n8n-mcp
- 23k
Forks
- ai-getting-started
- 659
- n8n-mcp
- 3.7k
Open issues
- ai-getting-started
- 16
- n8n-mcp
- 62
Language
- ai-getting-started
- TypeScript
- n8n-mcp
- TypeScript
Adopt for
- ai-getting-started
- ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations.
- n8n-mcp
- n8n-mcp integrates with AI tools like Claude Desktop, Claude Code, Windsurf, Cursor to manage n8n workflows.
Persona
- ai-getting-started
- -
- n8n-mcp
- -
Runtime
- ai-getting-started
- -
- n8n-mcp
- -
License
- ai-getting-started
- MIT
- n8n-mcp
- MIT
Last pushed
- ai-getting-started
- Aug 21, 2024
- n8n-mcp
- Sep 16, 2026
Categories
- ai-getting-started
- Developer Tools, Model Training, Vector Databases
- n8n-mcp
- Developer Tools
Trust and health
Maintenance
- ai-getting-started
- Dormant (18%)
- n8n-mcp
- Very active (96%)
Days since push
- ai-getting-started
- 759d
- n8n-mcp
- 3d
Open issues (now)
- ai-getting-started
- 16
- n8n-mcp
- 62
Stars delta
- ai-getting-started
- +1 (30d)
- n8n-mcp
- +543 (30d)
Open issues delta
- ai-getting-started
- 0 (30d)
- n8n-mcp
- +7 (30d)
Owner type
- ai-getting-started
- Organization
- n8n-mcp
- User
OSV dependency advisories
- ai-getting-started
- Published findings
- n8n-mcp
- No lockfile (source not queried)
Full report
- ai-getting-started
- Trust report
- n8n-mcp
- Trust report
Shared compatibility
- Node.js · ai-getting-started: Node.js runtime · n8n-mcp: Node.js runtime
Choose ai-getting-started if…
- Tags unique to ai-getting-started: deployment, image models, javascript, text models.
- Also covers Model Training, Vector Databases.
- * Use this tool if you are already familiar with or prefer working in TypeScript and want an easy entry point into AI project development.
When NOT to use ai-getting-started
- * If your focus is on developing large-scale, production-level applications, this tool may not offer the necessary scalability features.
- * Not suitable if you require highly customized vector stores or specific AI model training environments beyond what the package provides as it focuses more on a general setup.
Choose n8n-mcp if…
- Tags unique to n8n-mcp: mcp, mcp-server, n8n, workflows.
- n8n-mcp ships an MCP server manifest.
- When aiming for seamless integration between specific AI development tools and n8n.
When NOT to use n8n-mcp
- Avoid if your project requires support for a wider range of AI tools beyond those specified.
- Not suitable when the project cannot accommodate a dependency on TypeScript.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (a16z-infra/ai-getting-started) · observed Sep 20, 2026
- GitHub forks (a16z-infra/ai-getting-started) · observed Sep 20, 2026
- Last push (a16z-infra/ai-getting-started) · observed Aug 21, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (czlonkowski/n8n-mcp) · observed Sep 20, 2026
- GitHub forks (czlonkowski/n8n-mcp) · observed Sep 20, 2026
- Last push (czlonkowski/n8n-mcp) · observed Sep 16, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ai-getting-started 4.1k · n8n-mcp 23k (synced Sep 20, 2026).
Common questions
- What is the difference between ai-getting-started and n8n-mcp?
- ai-getting-started: A Javascript AI getting started stack for weekend projects. n8n-mcp: A MCP for Claude Desktop/Claude Code/Windsurf/Cursor to build n8n workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-getting-started over n8n-mcp?
- Choose ai-getting-started over n8n-mcp when Tags unique to ai-getting-started: deployment, image models, javascript, text models; Also covers Model Training, Vector Databases; * Use this tool if you are already familiar with or prefer working in TypeScript and want an easy entry point into AI project development.
- When should I choose n8n-mcp over ai-getting-started?
- Choose n8n-mcp over ai-getting-started when Tags unique to n8n-mcp: mcp, mcp-server, n8n, workflows; n8n-mcp ships an MCP server manifest; When aiming for seamless integration between specific AI development tools and n8n.
- When should I avoid ai-getting-started?
- * If your focus is on developing large-scale, production-level applications, this tool may not offer the necessary scalability features. * Not suitable if you require highly customized vector stores or specific AI model training environments beyond what the package provides as it focuses more on a general setup.
- When should I avoid n8n-mcp?
- Avoid if your project requires support for a wider range of AI tools beyond those specified. Not suitable when the project cannot accommodate a dependency on TypeScript.
- Is ai-getting-started or n8n-mcp more popular on GitHub?
- n8n-mcp has more GitHub stars (22,949 vs 4,142). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-getting-started and n8n-mcp open source?
- Yes - both are open-source projects on GitHub (ai-getting-started: MIT, n8n-mcp: MIT).
- Where can I find alternatives to ai-getting-started or n8n-mcp?
- GraphCanon lists graph-backed alternatives at ai-getting-started alternatives and n8n-mcp alternatives (ai-getting-started markdown twin, n8n-mcp markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, ai-getting-started or n8n-mcp?
- ai-getting-started: Dormant. n8n-mcp: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for ai-getting-started and n8n-mcp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-getting-started trust report; n8n-mcp trust report.