关键词 "AWS resource debugging" 的搜索结果, 共 24 条, 只显示前 480 条
A declarative platform for building Model Context Protocol (MCP) servers in Golang—exposing tools, resources & prompts in a clean, structured way
Collection of examples of how to use Model Context Protocol with AWS.
AWS MCP Servers — specialized MCP servers that bring AWS best practices directly to your development workflow
A simple MCP server exposed via SSE with examples tools, resources and prompts
An MCP proxy server that aggregates and serves multiple MCP resource servers through a single HTTP server.
An MCP server for octomind tools, resources and prompts
AWS DynamoDB Read-Only MCP Server
An MCP server for debugging and managing Kubernetes using Natural Language
An MCP-compliant external connector server enabling Claude and other LLMs to interact with web APIs, filesystem, and custom resources
A modern, community-driven collection of Dockerized Model Context Protocol (MCP) servers, tools, and resources.
A reference implementation of the Model Context Protocol (MCP) enabling seamless tool calling between LLMs and applications. Features client/server architecture with HTTP APIs, local CLI execution, an
A quick-start template to develop your own MCP Server to make AI to get access to your tools/resources
MCP server for enabling AI use local k8s resources
Interacts with Figma file content, dev resources, comments, and webhooks.
A template MCP server to easily deploy tools, resources, and prompts for agents. From the AgentForge team
Typescript starter for MCP server with resource, prompt and tool
A lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, and other MCP-aware A
MCP Connect is a versatile command-line interface (CLI) client designed to connect to various Model Context Protocol (MCP) servers using stdio transport. It provides seamless integration with OpenAI m
基于 PHP 实现的 MCP (Model Control Protocol) 服务器框架,通过注解优雅地定义 MCP 服务,支持 Tool、Prompt、Resource 三种处理器,支持Stdio、Sse 两种 transport。
A comprehensive TypeScript implementation of the Model Context Protocol (MCP) server with tools, resources, and prompts for LLM integration. Provides a robust foundation for building AI-powered applic
Repository for MCP (Model Context Protocol) servers and related resources
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