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muster

Skill Productivity Usable
Works inClaude Code
Usable Scanned — metadata only

Muster reduces friction in MCP tool workflows by providing a proxy layer that centralizes tool management and orchestration.

MCP tool management and workflow proxy

27 starsApache-2.0 (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Muster reduces friction in MCP tool workflows by providing a proxy layer that centralizes tool management and orchestration. Teams can compose, route, and version Claude integrations without rebuilding connectors for each use case.

Engineering teams and platform operators managing multiple Claude MCP instances or coordinating tool access across distributed workflows.

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https://github.com/giantswarm/muster

By giantswarm

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install giantswarm/muster

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me route Claude requests to environment-specific tool implementations
CostFree

Trust Signals Auto-scanned

Stars27Contributors20Last updated2026-07-24LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 27 GitHub stars; 20 contributors; last commit 1d ago; license Apache-2.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
2/5
Reliability
5/5
Security
4/5
Overall score3.40 / 5.00 UsableEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 27 GitHub stars; 20 contributors; last commit 1d ago; license Apache-2.0.

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