This MCP module provides an easy way to build MCP-compliant servers within NestJS applications, supporting resource, tool, and prompt definitions with decorators. It simplifies exposing resources, tools, and prompts through familiar NestJS patterns, and supports multiple transport layers including STDIO and HTTP/SSE. Built on TypeScript, it offers strong typing and easy configuration for rapid MCP server development.
Added on:
Created by:
Apr 26 2025
This MCP module provides an easy way to build MCP-compliant servers within NestJS applications, supporting resource, tool, and prompt definitions with decorators. It simplifies exposing resources, tools, and prompts through familiar NestJS patterns, and supports multiple transport layers including STDIO and HTTP/SSE. Built on TypeScript, it offers strong typing and easy configuration for rapid MCP server development.
Added on:
Created by:
Apr 26 2025
madcam
Featured
What is NestJS Model Context Protocol (MCP) Module?
The NestJS MCP module enables developers to quickly create MCP-compliant servers using a decorator-based API within NestJS. It allows defining resources, tools, and prompts with simple method decorators such as `@McpResource`, `@McpTool`, and `@McpPrompt`. It supports various transport layers like STDIO for CLI tools and HTTP/SSE for web-based communication. The module features validation schemas with Zod, dependency injection, and customizable configuration via `.forRoot()` and `.forRootAsync()`. It streamlines exposure of resources and functionalities, making it suitable for integrating advanced AI, LLMs, and other MCP-based services into NestJS applications efficiently.
Who will use NestJS Model Context Protocol (MCP) Module?
- NestJS developers building MCP servers
- AI/ML developers integrating MCP resources
- Backend engineers creating resource management tools
- Organizations deploying MCP-based microservices
How to use the NestJS Model Context Protocol (MCP) Module?
- Step 1: Install the module and its peer dependencies.
- Step 2: Import `McpModule` into your root module and configure with `forRoot()` or `forRootAsync()`, providing server info.
- Step 3: Define resources, tools, and prompts using decorators `@McpResource`, `@McpTool`, and `@McpPrompt` within your providers.
- Step 4: Use `StderrLogger` if using STDIO transport to prevent stdout interference.
- Step 5: Run your NestJS application. The module automatically registers the decorated methods as MCP handlers, accessible via STDIO or HTTP endpoints depending on configuration.
NestJS Model Context Protocol (MCP) Module's Core Features & Benefits
The Core Features
- Define MCP resources with fixed or templated URIs
- Expose tools with input validation schemas
- Create prompts for user interactions
- Support multiple transport layers (STDIO, SSE)
- Automatic discovery of decorated methods
- Type-safe parameter handling with Zod schemas
The Benefits
- Simplifies building MCP servers within NestJS
- Familiar decorator-based API reduces complexity
- Supports multiple transport layer configurations
- Type safety and validation for resource parameters
- Flexible and easily extendable for complex use cases
NestJS Model Context Protocol (MCP) Module's Main Use Cases & Applications
- AI chatbot resource hosting
- Resource and tool sharing between MCP clients
- Prompt-based user interaction systems
- Integrating MCP with LLMs and NLP tools
- Custom resource management for microservices
FAQs of NestJS Model Context Protocol (MCP) Module
Developer
- bamada
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
AI Chatbot
Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A platform for managing and deploying autonomous agents, tools, servers, and clients for automation tasks.
Enables interaction with powerful Text to Speech and video generation APIs for multimedia content creation.
An MCP server providing API access to RedNote (XiaoHongShu, xhs) for seamless integration.