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MCP-Nest
MCP-Nest logo

MCP-Nest

Active·★ 724·MIT·Updated 2026-10-20
★ Trending

This NestJS module simplifies exposing AI tools, resources, and prompts using the Model Context Protocol (MCP). It integrates seamlessly with NestJS's dependency injection to build complex, enterprise-ready MCP servers.

MCP-Nest sits in the RAG / Knowledge Base category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Multi-Transport Support (HTTP+SSE, Streamable HTTP, STDIO). A representative use case is Building AI applications that expose custom tools and functionalities.. The listed license is MIT. GitHub stars are currently 719. Relevant tags include NestJS, MCP.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

#NestJS#MCP#AI#TypeScript#Backend#Coding
$ Install
$ npm install @rekog/mcp-nest @modelcontextprotocol/sdk zod@^4
↗ Visit site★ GitHub
01

Features

01Multi-Transport Support (HTTP+SSE, Streamable HTTP, STDIO)
02Expose NestJS methods as MCP Tools with automatic discovery and Zod validation
03Serve content and data through MCP Resource system
04Define reusable Prompt Templates for AI interactions
05Leverage NestJS Dependency Injection throughout MCP components
02

Why choose it

+Multi-Transport Support (HTTP+SSE, Streamable HTTP, STDIO)
+Expose NestJS methods as MCP Tools with automatic discovery and Zod validation
+Building AI applications that expose custom tools and functionalities.
+Supports 5 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

Compatibility

NestJS
Native
Verified via docs
OpenAI SDK
Supported
Verified via docs
Keycloak
Supported
Verified via docs
Auth0
Supported
Verified via docs
Fastify
Supported
Verified via docs
05

Quick start

1
$ npm install @rekog/mcp-nest @modelcontextprotocol/sdk zod@^4
06

Use cases

↳Building AI applications that expose custom tools and functionalities.
↳Serving dynamic and static content to AI models as resources.
↳Creating reusable prompt templates for consistent AI interactions.
07

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07Alternatives
rekog-labs /
MCP-Nest
↗

A NestJS module to effortlessly create Model Context Protocol (MCP) servers for exposing AI tools, resources, and prompts.

724MIT
Last commit1w ago
StatusActive
CategoryRAG / Knowledge Base
Links
Documentation↗Discussion↗Issues↗Releases↗
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