Cloud Services MCP Repositories

Facilitates the composition and dispatch of electronic mail messages, supporting multiple recipients and file attachments. This server component additionally offers functionality to query local file systems for artifacts matching specified naming conventions, all while enforcing secure communication via the SMTP protocol.

Presents Kafka topic messages via an intuitive, web-based portal. Simplifies the monitoring and administration of message streams through adjustable parameters for connecting to a designated Kafka broker cluster.

A collection of reference implementations for integrating Large Language Models (LLMs) with various tools and data sources, enabling secure and controlled access to enhance AI applications. Implemented using either the Typescript or Python MCP SDK, these servers demonstrate the extensibility of the Model Context Protocol.

Programmatic access to Bitpanda features including trades, wallets, and transactions through a standardized protocol. Retrieve detailed asset information, OHLC data, and manage account data efficiently.

Integrates with the Tembo Cloud platform to provide a standardized API interface for accessing cloud functionalities. Facilitates interaction with the various services offered by Tembo Cloud.

Interact with Magic API endpoints to manage decentralized identity tokens and facilitate authentication processes in applications. The SDK provides utilities for seamless integration and handling of Decentralized ID (DID) tokens.

Facilitate bi-directional orchestration with Monday.com workspaces, empowering users to administer project artifacts, instantiate new entries, and log commentary directly within the application environment.

Interact with Notion through natural language instructions, enabling operations such as reading, creating, updating, and deleting Notion pages.

Provides timestamp-based UUIDs using UUID v7 whenever requested, facilitating unique identifier generation for applications.

Integrates with Langfuse workspaces to query LLM metrics by specified time ranges, enabling insights into AI performance and capabilities.

Enables natural language exploration and analysis of cloud infrastructure data across multiple platforms, including AWS, Azure, and GCP. Facilitates security and compliance checks, cost optimization, and query development through SQL queries powered by AI.

Manage and coordinate distributed agents and tasks through a secure API, enabling agent registration, task creation, monitoring, and status tracking.

A Model Context Protocol (MCP) service layer facilitating automated, direct interaction between AI agents (like Claude) and the YCloud WhatsApp messaging platform via its published OpenAPI schema. It manages core backend concerns including secure credential handling, payload structure validation, and reliable transmission/reception of platform requests.

Provides global weather forecasts and current conditions using the OpenWeatherMap One Call API, offering detailed 8-day forecasts and hourly updates.

Establish bidirectional synchronization with the HubSpot Customer Relationship Management (CRM) platform. This interface grants AI agents the capability to query, manipulate, and enrich contact, organization, and activity records leveraging real-time data feeds from HubSpot.

A drag-and-drop machine learning platform that utilizes Apache Spark for big data computation, enabling users to perform machine learning tasks without cloud services. It offers an intuitive interface for rapid setup and execution of data processing workflows.

Provides access to Kakao Map and Daum Search APIs for fetching location data, performing place searches, converting coordinates to addresses, and finding routes. Enables integration of various search functionalities and mapping features through a standardized interface.

Facilitates the deployment of web applications using the Wasp framework across various hosting providers, including traditional shared hosting and platforms like Netlify and Vercel. It offers a conversational interface with guided prompts to assist users throughout the deployment process.

Integrates Artificial Intelligence agents with Atlassian Confluence knowledge repositories, facilitating immediate retrieval, sophisticated querying, and structured administration of documentation assets within AI workflows.

Interact with Datadog API to fetch monitoring data and analyze specific monitor states and Kubernetes logs from infrastructure.

Execute shell commands securely in a controlled environment with built-in security measures to prevent dangerous operations while validating command existence.

Calculate carbon emissions in real-time and provide climate impact insights by integrating with the Climatiq API to perform various emission calculations for AI assistants.

This critical software artifact establishes a dedicated intermediary communication stratum, ensuring seamless data exchange between advanced Artificial Intelligence decision engines (Large Language Models) and the highly performant, index-centric backend native to Meilisearch. It rigidly conforms to the Model Context Protocol (MCP) manifest to grant authenticated autonomy to agent entities for invoking predefined, structured operational routines. Leveraging universally accepted distributed tenancy models—defined as the on-demand allocation of fluid computational assets—this module bridges direct AI workflow execution paths with externally managed, inherently elastic search utilities.

Connect AI assistants to SearXNG, a privacy-focused metasearch engine that supports both public and private instances. Customize search parameters for flexible web searching with no initial configuration required.

Automate and interact with InterSystems IRIS databases, streamlining data manipulation and retrieval processes. Enhance application development by leveraging the Model Context Protocol for efficient database interactions.

Facilitates interaction with Alibaba Cloud's Relational Database Service (RDS) ecosystem. It standardizes access for provisioning, monitoring database entities, retrieving operational metrics, and tuning configuration settings via a unified MCP gateway.

A static portfolio website that utilizes GatsbyJS to integrate and display content from DatoCMS, enabling easy management and showcasing of content through its API.

Facilitates the conversion of OpenAPI (Swagger) specifications into comprehensive Machine Control Protocol (MCP) tool definitions, streamlining the integration process for AI agents interacting with external RESTful services.

Aggregates multiple Model Context Protocol (MCP) servers into a unified interface, simplifying client interactions through secure proxying. Supports multiple transport types, including STDIO, HTTP/SSE, and Docker, with configurable conflict resolution and token-based authentication.

Integrate Firebase services with AI models for real-time access to authentication, Firestore document operations, and file management. This protocol allows seamless interaction with Firebase capabilities through a standardized interface.