Template MCP Server
CLI ToolFree** - A CLI tool to create a new Model Context Protocol server project with TypeScript support, dual transport options, and an extensible structure
Capabilities11 decomposed
interactive mcp server project scaffolding via cli
Medium confidenceGenerates a new Model Context Protocol server project by prompting users for project name and directory, then copies a pre-built TypeScript template (src/ directory) to the target location and generates a customized package.json with appropriate configurations. Uses a self-templating architecture where the CLI's own source code serves as the template, eliminating template drift and ensuring generated projects always match the reference implementation.
Uses self-templating architecture where the CLI's own src/ directory is copied directly to generated projects, ensuring zero template drift and making the CLI itself a living reference implementation that developers can study and extend
Eliminates template maintenance burden compared to separate template repositories by using the CLI source as the canonical template, guaranteeing generated projects always reflect the latest best practices
dual transport mode server initialization (stdio and http/sse)
Medium confidenceGenerates MCP server code that supports both stdio (process-based, command-line) and HTTP/SSE (network-based, Server-Sent Events) transport mechanisms, with conditional initialization logic that selects the transport based on environment or configuration. The template includes pre-wired transport handlers that abstract away protocol-level complexity, allowing developers to focus on implementing tools, resources, and prompts without managing transport details.
Template includes pre-configured transport abstraction layer that decouples MCP primitive implementations (tools, resources, prompts) from transport details, allowing single codebase to serve both stdio and HTTP/SSE without conditional business logic
More flexible than single-transport MCP servers because generated projects can switch transports via configuration rather than code changes, enabling development/staging/production deployment with identical server code
testing infrastructure and example test patterns
Medium confidenceProvides a testing setup using a JavaScript testing framework (likely Jest or similar based on typical Node.js projects) with example test patterns for tools, resources, and prompts. The template includes test configuration and example tests demonstrating how to test MCP primitives in isolation from the protocol layer, enabling developers to verify business logic without running the full MCP server.
Template includes example tests that demonstrate testing patterns specific to MCP primitives (tools, resources, prompts), showing how to test business logic in isolation from protocol concerns
More focused than generic Node.js testing because example tests show MCP-specific patterns like testing tool handlers and service methods without requiring full MCP server setup
mcp tools system with extensible service layer
Medium confidenceProvides a structured pattern for implementing MCP tools (callable functions) that delegate to a service layer, enabling separation of protocol concerns from business logic. The template includes example tools (hello_world) and corresponding service implementations, with clear extension points for adding new tools via tool registration and service method implementation. Tools are defined with JSON schemas for input validation and are automatically exposed via the MCP protocol.
Template establishes a three-layer architecture (MCP handler → tool registry → service layer) that makes it trivial to add new tools by implementing a service method and registering it, without touching protocol code
Cleaner separation of concerns than inline tool implementations because service logic is testable independently of MCP protocol, and services can be reused in non-MCP contexts (REST APIs, CLI commands, etc.)
mcp resources system with uri-based data source exposure
Medium confidenceImplements a resource system that exposes URI-addressable data sources (e.g., example://{id}) through the MCP protocol, with a template pattern for implementing resource handlers that fetch and return data. Resources are registered with URI templates and MIME types, and the template includes example implementations showing how to parse URI parameters and return resource content. Enables AI models to reference and retrieve external data sources as context.
Template provides URI template parsing and parameter extraction patterns that make it straightforward to implement parameterized resource handlers without manual string parsing
More structured than ad-hoc API endpoints because resources are URI-addressable and self-describing with MIME types, enabling AI models to understand and reference data sources consistently
mcp prompts system with pre-defined conversation starters
Medium confidenceImplements a prompts system that exposes pre-defined conversation starters and prompt templates through the MCP protocol, allowing AI models to discover and invoke contextual prompts. The template includes example prompts (greeting) and a registration pattern for adding new prompts with arguments. Prompts can include dynamic content and are designed to guide AI model behavior or provide structured conversation templates.
Template establishes a prompt registry pattern that makes prompts discoverable and versioned as code, enabling teams to treat prompt engineering as a software engineering discipline with version control and testing
More maintainable than hardcoded prompts in client applications because prompts are centralized in the MCP server and can be updated without client changes, and AI models can discover available prompts dynamically
typescript build pipeline with development and production modes
Medium confidenceProvides a complete build system using TypeScript compiler with separate development (watch mode with source maps) and production (minified, optimized) configurations. The template includes npm scripts for building, watching, and testing, with tsconfig.json pre-configured for MCP server development. Build artifacts are output to a dist/ directory, and the package.json main entry point is configured to use the compiled JavaScript.
Template includes pre-configured tsconfig.json optimized for MCP server development with strict type checking enabled, ensuring type safety across MCP primitive implementations
Simpler than bundler-based setups (Webpack, esbuild) because it uses native TypeScript compilation, reducing build complexity and making it easier for developers to understand and modify the build process
package.json generation with mcp server metadata and binary entry point
Medium confidenceGenerates a customized package.json for each scaffolded project that includes MCP server metadata (name, version, description), npm binary configuration for CLI entry points, dependency declarations for FastMCP and development tools, and build/test scripts. The generated package.json is tailored to the project name provided during scaffolding and includes all necessary configuration for npm publishing and local development.
Template generates package.json with MCP-specific metadata and binary configuration that matches the template's own package.json structure, ensuring consistency across all generated projects
More reliable than manual package.json creation because it's generated from the template's validated configuration, reducing configuration errors and ensuring all generated projects have compatible dependency versions
project structure generation with src/, dist/, and configuration file layout
Medium confidenceScaffolds a complete project directory structure including src/ for TypeScript source files, dist/ for compiled output, configuration files (tsconfig.json, package.json), and documentation templates. The generated structure mirrors the template's own structure, establishing a consistent layout across all MCP server projects. Includes placeholder files and directories for tools, resources, and prompts implementations.
Uses self-templating approach where the CLI's own src/ directory structure is copied directly, ensuring generated projects have identical organization to the reference implementation
More maintainable than separate template repositories because the structure is defined once in the CLI source and automatically propagated to all generated projects, eliminating template drift
environment variable configuration and runtime settings
Medium confidenceProvides a configuration system using environment variables to control MCP server behavior at runtime, including transport mode selection (stdio vs HTTP/SSE), listening port for HTTP mode, and service-specific settings. The template includes example environment variable usage and documentation for common configuration patterns, enabling deployment-specific customization without code changes.
Template includes example environment variable patterns and documentation showing how to configure transport mode, port, and service settings, establishing conventions for MCP server configuration
Simpler than configuration file systems because environment variables are universally supported across deployment platforms (Docker, Kubernetes, serverless), making MCP servers more portable
client integration documentation for cursor ide
Medium confidenceProvides documentation and configuration examples for integrating generated MCP servers with Cursor IDE, including how to configure the MCP server in Cursor's settings, how to invoke tools and resources from the IDE, and how to debug MCP server interactions. Documentation includes JSON configuration snippets and step-by-step integration instructions.
Template includes Cursor-specific integration documentation and configuration examples, making it straightforward for developers to connect their MCP servers to Cursor without trial-and-error
More practical than generic MCP documentation because it includes concrete Cursor configuration examples and troubleshooting guidance specific to IDE integration
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓developers building AI agents that need external tool/resource integration
- ✓teams standardizing on MCP for LLM context management
- ✓developers new to MCP who need a working starting point
- ✓developers building MCP servers for multiple deployment contexts
- ✓teams integrating MCP with both local tools (Cursor IDE) and remote services
- ✓organizations standardizing on MCP across heterogeneous infrastructure
- ✓developers building production MCP servers
- ✓teams with existing testing practices wanting to apply them to MCP
Known Limitations
- ⚠No interactive configuration of transport mode (stdio vs HTTP/SSE) during scaffolding — requires manual editing post-generation
- ⚠Template is tightly coupled to FastMCP implementation — switching to alternative MCP libraries requires forking
- ⚠No support for custom template variables or conditional file generation during scaffolding
- ⚠Transport selection logic must be manually configured — no automatic detection of optimal transport
- ⚠stdio transport limited to single client per process instance — requires process spawning for concurrent clients
- ⚠HTTP/SSE transport requires external reverse proxy or load balancer for production HA — no built-in clustering
Requirements
Input / Output
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About
** - A CLI tool to create a new Model Context Protocol server project with TypeScript support, dual transport options, and an extensible structure
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