MCP Server con NestJS
@klever24v
基本信息
关于 MCP Server con NestJS
nueva versión del servidor MCP usando MCP SDK e incluye Incluye validación (zod), permite definir herramientas de forma declarativa, que pueden ser invocadas por modelos como si fueran funciones (similar a OpenAI function calling).
MCP Server con NestJS 配置
MCP Server con NestJS 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is 🧠 MCP Server con NestJS?
A modular extensible server built with NestJS that implements the Model Context Protocol (MCP). It allows LLMs (like Claude, GPT) or external clients to interact with a collection of specialized tools via HTTP POST requests to /mcp. Each tool is dynamically registered with a name, a Zod-validated input schema, and a handler function.
How to use 🧠 MCP Server con NestJS?
Install dependencies with npm install, configure a .env file (set PORT and ANALYSIS_DIR), then run npm run start:dev. Invoke any tool by sending a POST request to http://localhost:3000/mcp with a JSON body containing toolName and params.
Key features of 🧠 MCP Server con NestJS?
- Modular architecture based on tools.
- Reusable tools: calculator, temperature, filesystem, code-analyzer-local.
- Prepared for integration with LLMs.
- Automatic generation of Markdown files with code descriptions.
- File read/write/delete support.
- Configuration via
.envand dynamic routes.
Use cases of 🧠 MCP Server con NestJS?
- Expose mathematical operations to an LLM via the calculator tool.
其他 分类下的更多 MCP 服务器
Glasswarp
GlasswarpSee and control a real Windows PC you own — from any MCP client, locally or remotely. Observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH: your machine, your key.
Activepieces
activepiecesAI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
🚀 Model Context Protocol (MCP) Curriculum for Beginners
microsoftThis open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
Codelf
unbugA search tool helps dev to solve the naming things problem.
Klarix Intelligence Engine
KlarixB2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.
评论