Descubre 169 MCPs desarrollados para AWS.
Provides unified VFS-backed artifact and workspace storage with scope-based isolation for AI applications and MCP servers.
Empower AI assistants to manage, monitor, and secure cloud resources across AWS, Azure, and GCP through the Model Context Protocol.
Enables sending emails through AWS SES directly from applications like Cursor or Claude Desktop.
Composes various data tools into a unified semantic data platform, enabling bidirectional context injection for enriched responses.
Provides a serverless implementation of the Model Context Protocol (MCP) using AWS Lambda, CloudFront, and Cognito authentication for scalable and secure cloud-hosted MCP servers.
Performs comprehensive read-only analysis of AWS infrastructure to identify attack paths, discover cost-saving security fixes, and detect unused capabilities.
Provides a unified server for managing cloud resources across AWS, GCP, Azure, and DigitalOcean via the Model Context Protocol.
Compares compute, storage, egress, and Kubernetes costs across major cloud providers like AWS, Azure, GCP, and OCI with a single query.
Transforms natural language user intents into validated server actions using Large Language Models.
Provides AI-driven insights and automation for DevOps, SRE, cloud architecture, and platform engineering professionals.
Provides a suite of Model Context Protocol (MCP) servers to enable AI assistants and automation to interact with modern DevOps tools and infrastructure.
Deploys a data querying server with an embedded database to AWS Lambda for advanced analytics.
Fetches the latest AWS announcements, blog posts, and news for specific AWS services.
Enables querying of AWS DynamoDB databases using natural language requests via the Model Context Protocol (MCP).
Provides a Model Context Protocol server for connecting to and managing diverse database types with powerful AI-driven tools.
Builds and deploys scalable multi-AI agent systems using LangGraph and Groq LLMs to enhance intelligence and automate complex operations across enterprise applications.
Provides secure access to AWS S3 buckets through pre-signed URLs.
Provides an MCP server for MySQL, PostgreSQL, and SQLite, offering granular permissions, multi-database support, and cloud-ready SSL/TLS with an extensible adapter pattern.
Provides structured access to OCSF-normalized security data in Amazon Security Lake for querying via AWS Athena.
Provides AI-powered natural language insights for multi-cloud FinOps across AWS, GCP, and Azure.
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