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qualityA starter template for building Model Context Protocol servers that can be integrated with Cursor or Claude Desktop, allowing developers to create custom tools and extensions for AI assistants.
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Provides HTTP request utilities through the 'serviceRequest' function in httpUtils.ts, supporting authenticated API requests with OAuth2 or API key authentication, retries, and response validation.
Loads environment variables from .env files for server configuration, enabling customization of transport types, HTTP settings, authentication, and logging options.
Implements the HTTP transport layer using Express to handle POST requests to the /mcp endpoint, process JSON-RPC messages, and support stateless request handling.
Provides testing framework integration for verifying the functionality of server components, tools, and utilities using automated tests.
Serves as the runtime environment for the MCP server, with support for Node.js version 18.x or later recommended for all server operations.
Implements the entire MCP server using TypeScript, leveraging type safety and interfaces for tool definitions, transport layers, and server components.
Handles schema validation for tool inputs, automatically converting Zod schemas to JSON schemas for introspection, documentation, and validation of tool arguments.
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A TypeScript-based starter template for building Model Context Protocol servers that enables AI assistants to dynamically call tools, interpret prompts, and manage resources through modular architecture with support for multiple transport methods.
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