typescript-mcp-server-generatorpar github

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 with dynamic...

npx skills add https://github.com/github/awesome-copilot --skill typescript-mcp-server-generator

Generate TypeScript MCP Server

Create a complete Model Context Protocol (MCP) server in TypeScript with the following specifications:

Requirements

  1. Project Structure: Create a new TypeScript/Node.js project with proper directory structure
  2. NPM Packages: Include @modelcontextprotocol/sdk, zod@3, and either express (for HTTP) or stdio support
  3. TypeScript Configuration: Proper tsconfig.json with ES modules support
  4. Server Type: Choose between HTTP (with Streamable HTTP transport) or stdio-based server
  5. Tools: Create at least one useful tool with proper schema validation
  6. Error Handling: Include comprehensive error handling and validation

Implementation Details

Project Setup

  • Initialize with npm init and 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: tsx or ts-node for development
  • Create proper .gitignore file

Server Configuration

  • Use McpServer class 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 title and description fields
  • Return both content and structuredContent in 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 start or npx 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.

Plus de skills de github

console-rendering
by github
Instructions for using the struct tag-based console rendering system in Go
acquire-codebase-knowledge
by github
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document…
acreadiness-assess
by github
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc…
acreadiness-generate-instructions
by github
Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS…
acreadiness-policy
by github
Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting…
add-educational-comments
by github
Add educational comments to code files to transform them into effective learning resources. Adapts explanation depth and tone to three configurable knowledge levels: beginner, intermediate, and advanced Automatically requests a file if none is provided, with numbered list matching for quick selection Expands files by up to 125% using educational comments only (hard limit: 400 new lines; 300 for files over 1,000 lines) Preserves file encoding, indentation style, syntax correctness, and...
adobe-illustrator-scripting
by github
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate…
agent-governance
by github
Declarative policies, intent classification, and audit trails for controlling AI agent tool access and behavior. Composable governance policies define allowed/blocked tools, content filters, rate limits, and approval requirements — stored as configuration, not code Semantic intent classification detects dangerous prompts (data exfiltration, privilege escalation, prompt injection) before tool execution using pattern-based signals Tool-level governance decorator enforces policies at function...

NotebookLM Web Importer

Importez des pages web et des vidéos YouTube dans NotebookLM en un clic. Utilisé par plus de 200 000 utilisateurs.

Installer l'extension Chrome