---
title: "n8n-mcp vs Agent-Reach"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/czlonkowski-n8n-mcp-vs-panniantong-agent-reach"
tools: ["czlonkowski-n8n-mcp", "panniantong-agent-reach"]
---

# n8n-mcp vs Agent-Reach

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick n8n-mcp when n8n-mcp is primarily TypeScript; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; n8n-mcp is TypeScript.

[n8n-mcp](https://www.n8n-mcp.com/) reports 22k GitHub stars, 3.6k forks, and 46 open issues, last pushed Jul 9, 2026. [Agent-Reach](https://github.com/Panniantong/Agent-Reach) has 55k stars, 4.5k forks, and 144 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [n8n-mcp's repository](https://github.com/czlonkowski/n8n-mcp) and [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach).

| | [n8n-mcp](/tools/czlonkowski-n8n-mcp.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) |
| --- | --- | --- |
| Tagline | A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you | Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. |
| Stars | 22,233 | 54,715 |
| Forks | 3,571 | 4,509 |
| Open issues | 46 | 144 |
| Language | TypeScript | Python |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | Developer Tools | LLM Frameworks, AI Agents, Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [n8n-mcp](/tools/czlonkowski-n8n-mcp.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) |
| --- | --- | --- |
| Days since push | 1d | 0d |
| Open issues (now) | 46 | 144 |
| Full report | [trust report](/tools/czlonkowski-n8n-mcp/trust.md) | [trust report](/tools/panniantong-agent-reach/trust.md) |

## Choose when

### Choose n8n-mcp if…

- n8n-mcp is primarily TypeScript; Agent-Reach is Python.
- Tags unique to n8n-mcp: mcp-server, n8n, workflows, typescript.
- Leaner open-issue backlog (46).

### Choose Agent-Reach if…

- Agent-Reach is primarily Python; n8n-mcp is TypeScript.
- Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
- Also covers LLM Frameworks, AI Agents.

## When NOT to use n8n-mcp

- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

## When NOT to use Agent-Reach

- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

## Common questions

### What is the difference between n8n-mcp and Agent-Reach?

n8n-mcp: A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you. Agent-Reach: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.. See the comparison table for live GitHub stats and shared categories.

### When should I choose n8n-mcp over Agent-Reach?

Choose n8n-mcp over Agent-Reach when n8n-mcp is primarily TypeScript; Agent-Reach is Python; Tags unique to n8n-mcp: mcp-server, n8n, workflows, typescript; Leaner open-issue backlog (46).

### When should I choose Agent-Reach over n8n-mcp?

Choose Agent-Reach over n8n-mcp when Agent-Reach is primarily Python; n8n-mcp is TypeScript; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers LLM Frameworks, AI Agents.

### When should I avoid n8n-mcp?

Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

### When should I avoid Agent-Reach?

LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

### Is n8n-mcp or Agent-Reach more popular on GitHub?

Agent-Reach has more GitHub stars (54,715 vs 22,233). Stars measure visibility, not whether either tool fits your constraints.

### Are n8n-mcp and Agent-Reach open source?

Yes - both are open-source projects on GitHub (n8n-mcp: MIT, Agent-Reach: MIT).

### Where can I find alternatives to n8n-mcp or Agent-Reach?

GraphCanon lists graph-backed alternatives at [n8n-mcp alternatives](/tools/czlonkowski-n8n-mcp/alternatives) and [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) ([n8n-mcp markdown twin](/tools/czlonkowski-n8n-mcp/alternatives.md), [Agent-Reach markdown twin](/tools/panniantong-agent-reach/alternatives.md)), 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](/compare/czlonkowski-n8n-mcp-vs-panniantong-agent-reach.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, n8n-mcp or Agent-Reach?

n8n-mcp: Very active. Agent-Reach: 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 n8n-mcp and Agent-Reach?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [n8n-mcp trust report](/tools/czlonkowski-n8n-mcp/trust); [Agent-Reach trust report](/tools/panniantong-agent-reach/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=czlonkowski-n8n-mcp`](/api/graphcanon/graph?tool=czlonkowski-n8n-mcp)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
