by rekog-labs · MCP Server · ★ 612
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NestJS MCP Server Module [![CI][ci-image]][ci-url] [![Code Coverage][code-coverage-image]][code-coverage-url] [![NPM Version][npm-version-image]][npm-url] [![NPM Downloads][npm-downloads-image]][npm-url] [![NPM License][npm-license-image]][npm-url] A NestJS module to effortlessly expose tools, resources, and prompts for AI, from your NestJS applications using the Model Context Protocol (MCP). With you define tools, resources, and prompts in a way that's familiar in NestJS and leverage the full power of dependency injection to utilize your existing codebase in building complex enterprise ready MCP servers. Features 🚀 Multi-Transport Support: HTTP+SSE, Streamable HTTP, and STDIO 🔧 Tools: Expose NestJS methods as MCP tools with automatic discovery and Zod validation 🛠️ Elicitation: Interactive tool calls with user input elicitation 🌐 HTTP Request Access: Full access to request context within MCP handlers 🔐 Per-Tool Authorization: Implement fine-grained authorization for tools 📁 Resources: Serve content and data through MCP resource system 📚 [Resource Templat
| Stars | 612 |
| Forks | 104 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 57.248/100 |
| Open Issues | 17 |
| Last Updated | 2026-03-29 |
| Created | 2025-01-26 |
| Platforms | mcp, node |
| Est. Tokens | ~86k |
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MCP-Nest is A NestJS module to effortlessly create Model Context Protocol (MCP) servers for exposing AI tools, resources, and prompts.. It is categorized as a MCP Server with 612 GitHub stars.
MCP-Nest is primarily written in TypeScript. It covers topics such as llm, llms, mcp.
You can find installation instructions and usage details in the MCP-Nest GitHub repository at github.com/rekog-labs/MCP-Nest. The project has 612 stars and 104 forks, indicating an active community.
MCP-Nest is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to MCP-Nest on Agent Skills Hub include mcp-framework, octocode-mcp, openapi. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.