Projects sharing features with Truss

A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the DataWorks Open API through a standardized interface. This implementation is based on the Aliyun Open API and enables AI agents to perform cloud resources operations seamlessly.

A Rust runtime for AWS Lambda

An MCP server implementation for retrieving data such as PDF's from S3.

AWS SDK for the Rust Programming Language

The Azure MCP Server, bringing the power of Azure to your agents.

This repository is for the active development of the Azure SDK for Rust. For consumers of the SDK we recommend visiting Docs.rs and looking up the docs for any of libraries in the SDK.

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 need for complex setups - just pass your AWS credentials and start interacting with all AWS services.

BentoML is a machine learning model serving framework and GPU-accelerated inference server designed to package, deploy, and scale AI models as production-ready REST APIs. It functions as an AI model lifecycle manager and an inference graph orchestrator, enabling the chaining of multiple models and custom logic into complex pipelines for advanced task sequences. The framework distinguishes itself through a dynamic batching engine that optimizes GPU throughput and an artifact-based packaging system that bundles model weights and dependencies into immutable archives for consistent deployment. It

Layer 4 load balancer with dynamic configuration loading

A VMware ESXi/vCenter management server based on MCP (Model Control Protocol), providing simple REST API interfaces for virtual machine management.

Talk with Azure using MCP

This is a Model Context Protocol (MCP) server that exposes Cloudflare’s edge platform as a set of tools for AI assistants. It provides a unified interface for managing Cloudflare Workers, including deployment, versioning, and configuration, alongside access to Workers AI for running inference tasks using pre-trained models. The server also covers Cloudflare’s data storage services, including D1 serverless SQLite databases, KV globally distributed key-value stores, and R2 S3-compatible object storage. Beyond core resource management, the server enables automation and scheduling through cron tr

Explore and retrieve content from Volcengine's Torch Object Storage (TOS) using natural language queries.

To interact with the MCP Server, you'll need an MCP client. Supported clients include Claude Desktop, VSCode, and Cline, among others. The configuration process is similar across all of them.

This project serves as a comprehensive directory of open-source libraries, tools, and technical documentation designed for building and managing infrastructure on the Amazon Web Services platform. It functions as a centralized knowledge base, aggregating software development kits, command-line utilities, and editor extensions to assist developers in cloud-native application development. The directory distinguishes itself through a categorical taxonomy that organizes disparate technical resources into a structured hierarchy. It incorporates community-driven metadata aggregation and automated m

Syncs Canvas course files to your local computer

Azure Resource Management Assistant (ARMA) ARMA is a modular, multi-agent assistant for Azure resource provisioning, validation, and management, built with LangGraph and LangChain v1.

Microsoft Azure Data Lake Storage MCP Server

Free, open-source AWS emulator. LocalStack alternative: 41 services, 3,704 operations, true 100% Smithy conformance (124,255/124,255 variants pass). No account, no auth token, no paid tier.

Feast is an open-source feature store for machine learning that provides a central platform for defining, storing, and serving features across both training and inference workflows. It operates as a declarative system where feature definitions are written as code in Python files, synchronized to a central registry, and made available for low-latency online retrieval or point-in-time correct historical joins for training datasets. The project abstracts storage behind a pluggable architecture, allowing offline and online backends to be swapped without changing retrieval logic, and coordinates ma

MCP Server for kubernetes management commands

Model Context Protocol (MCP) server that provides access to Azure Resource Graph queries. It allows you to retrieve information about Azure resources across your subscriptions using Resource Graph queries.

DVC is a data versioning tool and pipeline orchestrator designed to track large datasets and machine learning models. It functions as a system for managing large data artifacts by storing lightweight metadata in version control while keeping the actual binaries in a separate cache. The project serves as an experiment tracker and remote storage synchronizer, enabling the execution and comparison of machine learning iterations based on hyperparameters and performance metrics. It provides a bridge for pushing and pulling these large data artifacts between local environments and cloud or on-premi

🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞

A comprehensive Model Context Protocol (MCP) server for managing Netskope Private Access (NPA) infrastructure through AI-powered automation.

World's first fully integrated and fully Automated Kubernetes management and orchestration solution

Model Context Protocol (MCP) server for Kubernetes and OpenShift