Comparison
n8n-mcp vs Agent-Reach
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.
Markdown twin · n8n-mcp alternatives · Agent-Reach alternatives
GraphCanon updated today
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Trust & integrity
| Signal | n8n-mcp | Agent-Reach |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | No MCP manifest As of today · mcp_manifest |
Tagline
- 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.
Stars
- n8n-mcp
- 22k
- Agent-Reach
- 55k
Forks
- n8n-mcp
- 3.6k
- Agent-Reach
- 4.5k
Open issues
- n8n-mcp
- 46
- Agent-Reach
- 144
Language
- n8n-mcp
- TypeScript
- Agent-Reach
- Python
Adopt for
- n8n-mcp
- -
- Agent-Reach
- -
Persona
- n8n-mcp
- -
- Agent-Reach
- -
Runtime
- n8n-mcp
- -
- Agent-Reach
- -
License
- n8n-mcp
- MIT
- Agent-Reach
- MIT
Last pushed
- n8n-mcp
- Jul 9, 2026
- Agent-Reach
- Jul 10, 2026
Categories
- n8n-mcp
- Developer Tools
- Agent-Reach
- LLM Frameworks, AI Agents, Developer Tools
Trust and health
Days since push
- n8n-mcp
- 1d
- Agent-Reach
- 0d
Open issues (now)
- n8n-mcp
- 46
- Agent-Reach
- 144
Full report
- n8n-mcp
- Trust report
- Agent-Reach
- Trust report
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).
When NOT to use n8n-mcp
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (czlonkowski/n8n-mcp) · observed Jul 11, 2026
- GitHub forks (czlonkowski/n8n-mcp) · observed Jul 11, 2026
- Last push (czlonkowski/n8n-mcp) · observed Jul 9, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Panniantong/Agent-Reach) · observed Jul 11, 2026
- GitHub forks (Panniantong/Agent-Reach) · observed Jul 11, 2026
- Last push (Panniantong/Agent-Reach) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: n8n-mcp 22k · Agent-Reach 55k (synced Jul 11, 2026).
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 and Agent-Reach alternatives (n8n-mcp markdown twin, Agent-Reach 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, 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; Agent-Reach trust report.