Cloud Services MCP Repositories

Provides detailed information about container images and their signatures from registries using the ORAS CLI, enabling users to query image platforms, tags, and signature types for effective management of container artifacts.

Deploy Python scripts to Modal, facilitating the generation and sharing of modal applications from Claude with minimal commands.

Connects to MongoDB databases and MongoDB Atlas for admin tasks and data operations using natural language. Supports over 30 tools for cluster management and database querying with safety controls like read-only mode and tool disabling.

Integrates machine learning operations with SAP HANA Cloud by managing model metadata, execution contexts, and providing communication protocols. Supports a standardized interface for efficient interaction with the HANA Cloud database and Cursor IDE.

Automates web browsing and data extraction using cloud browser capabilities. Interacts with web pages, captures screenshots, and executes JavaScript in a secure environment.

Manage sessions and run agents for web observation, scraping, actions, and authentication on various websites. Control cloud browser sessions and execute tasks efficiently with Notte agents.

Provides a flexible and efficient interface for querying and manipulating MCP data through a GraphQL API, enabling seamless data integration and interaction with MCP services.

A specialized database solution engineered for the rigorous demands of Industrial Internet of Things (IIoT) time-series data management, focusing on high-efficiency ingestion, storage, and analytical capabilities. It features native interoperability with distributed processing frameworks like Apache Hadoop and Spark, leveraging familiar SQL-like query interfaces.

Connects to Spotify using the Spotipy API to control playback, search for music, and manage playlists. Facilitates operations such as starting, pausing, skipping tracks, and retrieving information on various music-related entities.

Interact seamlessly with PostgreSQL, MySQL, MariaDB, and SQLite databases using Claude Desktop. This MCP server facilitates efficient database management and query execution through a unified interface.

Integrate Google services such as Gmail and Calendar to enhance AI capabilities. Manage emails, schedule events, and automate workflows directly within the AI interface.

Compose and send emails directly from LLM applications using Resend's API, facilitating seamless email communication without manual copying and pasting of content.

Lists all available MCP services configured in Claude Desktop, providing easy access for reference and copying. Keeps the list dynamically updated and accessible from the tools menu for quick selection.

Connects to Elasticsearch data, enabling users to manage indices, conduct searches, and handle mappings through natural language interactions.

Manage and monitor SeaTunnel jobs and system status through an intuitive LLM interface, allowing for dynamic job submission, stopping, and tracking while configuring connections on-the-fly. Provides comprehensive insights into the SeaTunnel cluster along with built-in monitoring tools.

Build a chatbot using OpenAI's GPT-3.5 within a Streamlit application for interactive conversations.

Interact with the Strava API to retrieve user activities, detailed activity information, and segment leaderboards. Enhance applications with Strava's rich data through an easy-to-setup server.

Integrates PrivateGPT with any MCP-compatible application, enabling seamless data exchange and tool utilization. Facilitates the connection between AI models and various data sources or services.

A specialized Model Context Protocol (MCP) component designed to bridge Large Language Models (LLMs) with Couchbase deployments hosted on the Capella platform. It facilitates comprehensive data interaction, supporting CRUD operations, execution of N1QL queries, and general data lifecycle management via natural language directives.

Comprehensive data quality evaluation tool that facilitates interaction with rule-based and LLM-based evaluation capabilities. Capabilities include listing of data evaluation rules and prompts.

This utility offers centralized control over Kubernetes deployments, facilitating resource lifecycle management like creation, modification, deletion, and querying across several distinct clusters. It naturally incorporates support for custom resource definitions (CRDs). Drawing parallels to cloud computing, which involves networked access to scalable, elastic resource pools, this tool provides self-service administrative functions for container orchestration environments.

Aggregates and manages multiple MCP resource servers through a unified interface. Simplifies access to various tools and data sources while handling request routing and response aggregation.

Connect and interact with multichain data, querying blockchain information and facilitating integration with AI agents through the Oraichain framework.

Manage VMware ESXi and vCenter environments through a REST API interface, allowing for the creation, cloning, deletion, and monitoring of virtual machines. Supports real-time performance insights and secure operations through API key authentication and SSL/TLS connections.

Interacts with TastyTrade brokerage accounts to monitor portfolios, analyze positions, and execute trades through the TastyTrade platform.

A high-throughput Model Context Protocol (MCP) backend designed to facilitate advanced, AI-driven web data harvesting and deep informational retrieval. It specializes in structured data extraction and executing asynchronous, depth-controlled site traversal operations, fortified by secure authorization mechanisms and integrated via CloudFlare Workers.

The DARPEngine facilitates intelligent resource discovery by indexing metadata from various MCP servers across the network, allowing for swift identification and linkage to appropriate MCP utilities based on user queries through its dedicated Command Line Interface (CLI) and Application Programming Interface (API).

Manage CouchDB databases and documents through a straightforward interface, facilitating operations like creating, listing, and deleting databases.

Interact with Jira to manage tickets, including fetching assigned tickets, adding comments, and updating ticket statuses. Automate workflows and streamline task management directly through AI assistants.

Automate the creation and management of Google Forms using the Google Forms API. This server facilitates form creation, question addition, and response retrieval.