"Learning NestJS Framework Knowledge" matching MCP servers:

A comprehensive framework for building remote MCP servers on Cloudflare Workers featuring OAuth 2.1 authentication, PostgreSQL integration, and Stripe-powered paid tools. It enables developers to create scalable, platform-agnostic MCP tools with support for user registration and subscription-based functionality.

A framework to deploy MCP servers on AWS using serverless services like Lambda, API Gateway, and EventBridge, with dynamic tools, prompts, and resources managed via SSM parameters and Lambda functions.

A minimal MCP server with three toy tools (add, echo, current_time) for learning deployment on SAP BTP Cloud Foundry.

Provides tools for discovering, building, deploying, and troubleshooting AWS Deep Learning Containers (DLC) images. Supports multiple frameworks and instance recommendations.

Enables interaction with Cloudera Machine Learning to manage projects, files, and jobs through the Model Context Protocol. It supports tasks such as uploading files, scheduling jobs, and managing runtimes via natural language interfaces.

Enables management of Amazon Bedrock Knowledge Bases including creation, data source configuration, document ingestion, and RAG (Retrieval-Augmented Generation) queries with support for multiple embedding models and custom parsing/chunking strategies.

An MCP server that enables users to retrieve information from AWS Knowledge Bases using RAG (Retrieval-Augmented Generation) via Bedrock Agent Runtime.

Model Context Protocol server for the Apideck Unified API. Connect any MCP-compatible agent framework to 100+ accounting systems, HRIS platforms, file storage providers, and more through one integration. More information https://www.apideck.com/mcp-server

Integrates Zerodha's trading platform with Claude AI using the Multi-Cloud Plugin framework, allowing users to interact with their Zerodha trading account directly through Claude for stock trading and mutual fund operations.

A management tool for Alibaba Cloud Message Service (MNS) implemented through the MCP framework, allowing users to create, delete, send messages to, and receive messages from MNS queues through MCP Host configuration.

Enables secure access to Xplainable AI platform capabilities for managing machine learning models, deployments, and preprocessors. Supports both read operations (listing models, deployments) and write operations (deploying models, generating reports) with proper authentication and rate limiting.

Enables execution of Snowflake stored procedures through the MCP server by providing a framework to define, manage, and call procedures from specific schemas or individual procedures.

Enables managing RunPod compute for the Learning-to-Swim replication through natural language, including pod lifecycle, SSH/rsync file transfer, detached training jobs, and supervised runs with cost guardrails.

Enables AI assistants to interact with Rockfish's machine learning platform through comprehensive API access. Supports managing databases, worker sets, workflows, models, projects, and datasets for ML operations.

Enables natural language interaction with Microsoft Dynamics 365 Finance & Operations, including entity discovery, CRUD operations, and a learning system that improves over time.

Provides tools to validate SageMaker workloads against the six pillars of the AWS Well-Architected Framework, returning findings with severity levels and recommendations.

MCP server for executing Python code on CoCalc cloud projects. It enables any MCP-compatible assistant to run Python and machine-learning workloads remotely on CoCalc infrastructure without local GPU requirements.

Deploys an MCP server on Azure Container Apps that exposes Azure ML managed online endpoints as tools, enabling AI agents like Azure AI Foundry to invoke machine learning models via natural language.

A starter TypeScript template for building MCP and ChatGPT apps with the Skybridge framework, featuring tool registration, React views, and deployment to MCP-compatible clouds.

Enables secure access to an organizational knowledge base via Supabase (RLS), providing tools for search, retrieval, writing, version history, and change tracking.