typescript-mcp-server-generator▌
github/awesome-copilot · updated Apr 8, 2026
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Complete TypeScript MCP server project generator with tools, resources, and transport configuration.
- ›Scaffolds a full Node.js/TypeScript project with @modelcontextprotocol/sdk, zod validation, and choice of HTTP (Express) or stdio transport
- ›Generates at least one production-ready tool with schema validation, error handling, and structured content responses
- ›Includes tsconfig.json with ES modules, proper package.json setup, and dev tooling (tsx/ts-node)
- ›Optionally adds resources wit
Generate TypeScript MCP Server
Create a complete Model Context Protocol (MCP) server in TypeScript with the following specifications:
Requirements
- Project Structure: Create a new TypeScript/Node.js project with proper directory structure
- NPM Packages: Include @modelcontextprotocol/sdk, zod@3, and either express (for HTTP) or stdio support
- TypeScript Configuration: Proper tsconfig.json with ES modules support
- Server Type: Choose between HTTP (with Streamable HTTP transport) or stdio-based server
- Tools: Create at least one useful tool with proper schema validation
- Error Handling: Include comprehensive error handling and validation
Implementation Details
Project Setup
- Initialize with
npm initand create package.json - Install dependencies:
@modelcontextprotocol/sdk,zod@3, and transport-specific packages - Configure TypeScript with ES modules:
"type": "module"in package.json - Add dev dependencies:
tsxorts-nodefor development - Create proper .gitignore file
Server Configuration
- Use
McpServerclass for high-level implementation - Set server name and version
- Choose appropriate transport (StreamableHTTPServerTransport or StdioServerTransport)
- For HTTP: set up Express with proper middleware and error handling
- For stdio: use StdioServerTransport directly
Tool Implementation
- Use
registerTool()method with descriptive names - Define schemas using zod for input and output validation
- Provide clear
titleanddescriptionfields - Return both
contentandstructuredContentin results - Implement proper error handling with try-catch blocks
- Support async operations where appropriate
Resource/Prompt Setup (Optional)
- Add resources using
registerResource()with ResourceTemplate for dynamic URIs - Add prompts using
registerPrompt()with argument schemas - Consider adding completion support for better UX
Code Quality
- Use TypeScript for type safety
- Follow async/await patterns consistently
- Implement proper cleanup on transport close events
- Use environment variables for configuration
- Add inline comments for complex logic
- Structure code with clear separation of concerns
Example Tool Types to Consider
- Data processing and transformation
- External API integrations
- File system operations (read, search, analyze)
- Database queries
- Text analysis or summarization (with sampling)
- System information retrieval
Configuration Options
-
For HTTP Servers:
- Port configuration via environment variables
- CORS setup for browser clients
- Session management (stateless vs stateful)
- DNS rebinding protection for local servers
-
For stdio Servers:
- Proper stdin/stdout handling
- Environment-based configuration
- Process lifecycle management
Testing Guidance
- Explain how to run the server (
npm startornpx tsx server.ts) - Provide MCP Inspector command:
npx @modelcontextprotocol/inspector - For HTTP servers, include connection URL:
http://localhost:PORT/mcp - Include example tool invocations
- Add troubleshooting tips for common issues
Additional Features to Consider
- Sampling support for LLM-powered tools
- User input elicitation for interactive workflows
- Dynamic tool registration with enable/disable capabilities
- Notification debouncing for bulk updates
- Resource links for efficient data references
Generate a complete, production-ready MCP server with comprehensive documentation, type safety, and error handling.
How to use typescript-mcp-server-generator on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add typescript-mcp-server-generator
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches typescript-mcp-server-generator from GitHub repository github/awesome-copilot and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate typescript-mcp-server-generator. Access the skill through slash commands (e.g., /typescript-mcp-server-generator) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ 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.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★28 reviews- ★★★★★Chaitanya Patil· Dec 24, 2024
Registry listing for typescript-mcp-server-generator matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Mateo Park· Dec 24, 2024
typescript-mcp-server-generator reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Pratham Ware· Dec 20, 2024
typescript-mcp-server-generator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Zara Park· Dec 8, 2024
We added typescript-mcp-server-generator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ishan Thompson· Nov 27, 2024
Keeps context tight: typescript-mcp-server-generator is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Piyush G· Nov 15, 2024
typescript-mcp-server-generator reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Aanya Zhang· Nov 15, 2024
Registry listing for typescript-mcp-server-generator matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Ira Wang· Oct 18, 2024
typescript-mcp-server-generator has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Shikha Mishra· Oct 6, 2024
I recommend typescript-mcp-server-generator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Aditi Anderson· Oct 6, 2024
typescript-mcp-server-generator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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