搜索结果

Run Model Context Protocol (MCP) servers with AWS Lambda

Run existing Model Context Protocol (MCP) stdio-based servers in AWS Lambda functions

aws-mcp-cloud-dev

AI-powered cloud development with AWS MCP Servers

Trusted GMail MCP Server

First Trusted MCP server running on AWS Nitro Enclave Trusted Execution Environment

AWS Common MCP Servers with CDK Deployment

Deployable MCP Servers for common AWS services (Location, S3, Aurora PG Data API) using AWS CDK.

AWS SSO MCP Server

Node.js/TypeScript MCP server for AWS Single Sign-On (SSO). Enables AI systems (LLMs) with tools to initiate SSO login (device auth flow), list accounts/roles, and securely execute AWS CLI commands us

MCP Server for AWS Resources

AWS CLI MCP Server

AWS Resources MCP Server

Mirror of

aws-ses-mcp 📧

This is a simple Model Context Protocol (MCP) server that sends emails using AWS SES (Simple Email Service). Perfect for integrating with Cursor or Claude Desktop to compose and send emails directly w

MCP Server

Open-source MCP (Mission Control Panel) server for AWS - A powerful, region-independent backend service for AWS operations

Postgers_MCP_for_AWS_RDS

It is MCP server for access Postges DB on AWS RDS

AWS Resources MCP Server

A Python-based MCP server that lets Claude run boto3 code to query and manage AWS resources. Execute powerful AWS operations directly through Claude with proper sandboxing and containerization. No nee

AWS MCP Server

Mirror of

Command Injection Vulnerability in MCP File Reader

A deliberately vulnerable MCP server demonstrating command injection flaws. This Python implementation shows how lack of input sanitization in file paths leads to critical security vulnerabilities all

AWS S3 AccessTool

S3 MCP Server

MCP server to integrate AWS S3 and LLM

mcp-cloudwatch-tracker

MCP Server for tracking logs with AWS CloudWatch

aws-ow-pgvector-mcp

AWS Aurora Postgres with Pgvector Extension MCP Server.

ContextGem

ContextGem：轻松从文档中提取 LLM                  ContextGem 是一个免费的开源 LLM 框架，它可以让您以最少的代码更轻松地从文档中提取结构化数据和见解。 💎 为什么选择 Contex

DreamFit

DreamFit是什么 DreamFit是字节跳动团队联合清华大学深圳国际研究生院、中山大学深圳校区推出的虚拟试衣框架，专门用在轻量级服装为中心的人类图像生成。框架能显著减少模型复杂度和训练成本，基于优化文本提示和特征融合，提高生成图像的质量和一致性。DreamFit能泛化到各种服装、风格和提示指令，生成高质量的人物图像。DreamFit支持与社区控制插件的无缝集成，降低使用门槛。 Dre

VoiceCanvas

VoiceCanvas 是开源的多语言语音合成平台。基于 AI 技术提供高质量的文字转语音服务，支持超过 50 种语言，集成 OpenAI TTS、AWS Polly 和 MiniMax 等多种语音服务。VoiceCanvas 提供个人声音克隆功能，用户上传几秒音频样本能创建个性化声音。VoiceCanvas适合内容创作者、教育工作者和企业用户，显著提升语音内容制作效率。 VoiceCanvas

Graphiti

Graphiti 是一个用于构建和查询时序感知知识图谱的框架，专为在动态环境中运行的 AI 代理量身定制。与传统的检索增强生成 (RAG) 方法不同，Graphiti 持续将用户交互、结构化和非结构化企业数据以及外部信息集成到一个连贯且可查询的图中。该框架支持增量数据更新、高效检索和精确的历史查询，无需完全重新计算图谱，因此非常适合开发交互式、情境感知的 AI 应用程序。 使用 Graphiti