#79 · Primary category: LLM Application Frameworks

nitrostack

agentic-ai ai chatgpt chatgpt-apps claude claude-apps mcp mcp-client mcp-server mcp-servers mcp-tools mcpagents mcpapps model-context-protocol modelcontextprotocol

The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.

Project last updated:08/28/26

GitHub Stars

2.5K

Forks

1.4K

Contributors

76

License

Apache-2.0

Why we included this project

NitroStack is a TypeScript framework for building MCP servers that large language models can actually call, and most of the production plumbing is already in place. Instead of hand-rolling every endpoint, you declare tools with decorators, wire dependencies through the container, and get auth and rate-limiting guards without extra work. Because the input schemas are Zod-driven and the architecture is modular, teams already working in TypeScript can expose existing services as agent-callable tools without a steep learning curve. The widget system is a nice extra: model outputs can be rendered as interactive React components rather than plain text. For developers and small teams putting AI-native backends together, it is a practical way to keep security and observability in view from the start.

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