Nest is a NestJS module that enables you to expose AI tools, resources, and prompts from your NestJS applications using the Model Context Protocol (MCP).

How does Nest handle tool call validation?

Nest uses Zod-based validation to ensure the integrity and correctness of tool calls, preventing errors and improving security.

What transport types does Nest support?

Nest supports Streamable HTTP, HTTP+SSE, and STDIO transports for flexible communication with AI models.

Does Nest support authentication?

Yes, Nest allows you to secure your MCP endpoints using standard NestJS Guards for authentication and authorization.

What are the key features of Nest?

Key features include automatic tool/resource/prompt discovery, Zod validation, progress notifications, guard-based authentication, and support for multiple transport types.

Nest

Name: Nest
Author: rekog-labs

byrekog-labs

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628

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API 개발

데이터 과학 및 ML

기타

Exposes AI tools, resources, and prompts from NestJS applications using the Model Context Protocol.

MCP-Nest is a NestJS module designed to simplify the creation of Model Context Protocol (MCP) servers. It allows developers to effortlessly expose AI tools, resources, and prompts from their NestJS applications. By leveraging NestJS's dependency injection and familiar patterns, MCP-Nest facilitates the building of complex, enterprise-ready MCP servers. It supports various transport types, including Streamable HTTP, HTTP+SSE, and STDIO, and offers features like automatic discovery, Zod-based validation, progress notifications, and guard-based authentication.

주요 기능

01Supports Streamable HTTP, HTTP+SSE, and STDIO transports.

02Automatically discovers and registers tools, resources, and prompts.

03Provides Zod-based tool call validation.

04Offers progress notifications.

05Enables guard-based authentication for MCP endpoints.

06158 GitHub stars

사용 사례

01Exposing AI models as tools via MCP for use in AI workflows.

02Creating resources that provide context for AI models.

03Building custom prompts that can be dynamically accessed and executed.

주요 기능

01Supports Streamable HTTP, HTTP+SSE, and STDIO transports.

02Automatically discovers and registers tools, resources, and prompts.

03Provides Zod-based tool call validation.

04Offers progress notifications.

05Enables guard-based authentication for MCP endpoints.

06158 GitHub stars

사용 사례

01Exposing AI models as tools via MCP for use in AI workflows.

02Creating resources that provide context for AI models.

03Building custom prompts that can be dynamically accessed and executed.