Generate production-ready MCP servers in Ruby using the official SDK with complete project scaffolding.
Run in your terminal
Generates a full project structure with tools, prompts, resources, tests, and configuration files following Ruby conventions
Includes input/output schemas, tool annotations, and structured content support for type-safe MCP implementations
Provides example tools (greet, calculate), prompts (code review), and resources with comprehensive test coverage using Minitest
Supports stdio
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionruby-mcp-server-generatorExecute the skills CLI command in your project's root directory to begin installation:
Package manager
npx skills add https://github.com/github/awesome-copilot --skill ruby-mcp-server-generatorFetches ruby-mcp-server-generator from github/awesome-copilot and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate ruby-mcp-server-generator. Access via /ruby-mcp-server-generatorin your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Package manager
npx skills add https://github.com/github/awesome-copilot --skill ruby-mcp-server-generatorWorks with
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Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
github/awesome-copilot
github/awesome-copilot
github/awesome-copilot
shipshitdev/library
jwynia/agent-skills
mindrally/skills
ruby-mcp-server-generator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend ruby-mcp-server-generator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
ruby-mcp-server-generator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in ruby-mcp-server-generator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend ruby-mcp-server-generator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: ruby-mcp-server-generator is the kind of skill you can hand to a new teammate without a long onboarding doc.
ruby-mcp-server-generator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: ruby-mcp-server-generator is focused, and the summary matches what you get after install.
We added ruby-mcp-server-generator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
ruby-mcp-server-generator has been reliable in day-to-day use. Documentation quality is above average for community skills.
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