Cloud Services MCP Repositories

A collection of utilities engineered to bridge Language Models (LLMs) with external systems and application programming interfaces (APIs). This suite enables sophisticated actions such as executing terminal commands and manipulating Figma design assets, providing developers with a robust framework for seamless LLM functional expansion.

Display and explore comprehensive movie metadata sourced from The Movie Database (TMDB) using an interactive Streamlit application. Analyze and visualize movie datasets for insights.

Enable natural language interaction with WebDAV file systems to perform CRUD operations on files and directories through a secure and configurable MCP server. Supports connections with optional authentication and efficient management of file operations via multiple transport methods.

Enhances Large Language Models with real-time weather data by connecting to external weather APIs for accurate and up-to-date information. Provides LLMs with the capability to access and utilize dynamic weather data for improved contextual responses.

Manage Elasticsearch clusters by executing queries, creating indices, and indexing documents. It facilitates data management and retrieval processes for large language models through seamless integration with Elasticsearch functionality.

Manage emails through a wide range of tools for drafting, sending, retrieving, and organizing messages with complete Gmail API coverage, including label and thread management.

Facilitates conversational querying against live Snowflake data via a constrained, read-only Model Context Protocol (MCP) endpoint. This abstracts the necessity for direct SQL interaction, enabling immediate data exploration by Large Language Models (LLMs). It achieves connectivity by leveraging the CData JDBC Driver for Snowflake to interface with real-time data sources.

Upload and manage projects through a user-friendly interface, enabling seamless handling of single files or entire directories. Integrates various development workflow features for enhanced productivity.

Provides cognitive tools for advanced reasoning, planning, and self-correction for AI agents. Supports AI pair programming and complex problem-solving through structured cognitive workflows, enhancing adaptive and culturally respectful interactions.

Access Google Classroom data to retrieve course details, assignments, and announcements. Integrate classroom management capabilities into AI interactions.

Integrate AI assistants with Azure DevOps for managing work items, pull requests, and wikis. Automate tasks and retrieve information to enhance collaboration and productivity within development workflows.

Generate images from text descriptions using the Flux Schnell model through an MCP interface. This server connects with Cloudflare's Flux Schnell worker API to deliver image generation capabilities.

Enables cloud server configuration and deployment with a focus on microservices architecture and data streaming technologies, integrating tools like Kafka, Flume, and Elasticsearch for robust system building. Supports AI and Python functionalities to enhance applications.

Connects Claude AI with the SOON ecosystem to query wallet balances, fetch recent transactions, and check token holdings on SOON's testnet and mainnet. Interfaces with SOON's RPC endpoints for seamless real-time blockchain interactions.

Create multi-agent AI applications that can collaborate with humans and operate autonomously. Provides a framework and tools for building and prototyping workflows without coding.

Streamline development processes by creating and managing CI/CD pipelines using a Jenkins-based system integrated within a SpringBoot demo project.

Facilitates programmatic interaction with Atlassian Confluence via its REST interface for content manipulation, structural navigation, and information retrieval. Access is secured using bearer tokens issued by the user's Atlassian account.

Enable secure remote command execution and file operations through the SSH protocol, supporting both password and key-based authentication with detailed logging and progress tracking for file transfers.

Create and connect custom tools to Cursor IDE using the Model Context Protocol, enhancing the IDE experience with tailored functionalities.

Access Prometheus metrics and execute PromQL queries through standardized interfaces to analyze metrics data. Simplifies monitoring and data exploration by enabling the listing of metrics and retrieving instant or range query results.

Facilitates the accelerated, memory-efficient fine-tuning of expansive language models. It integrates specialized techniques like extended context handling and quantization for maximizing throughput on commodity GPU hardware.

Process and analyze large datasets efficiently, providing insights and transforming data workflows with speed.

Enable seamless interaction with Coda documents, including listing, creating, reading, updating, and duplicating pages. Provides command access to manipulate document content directly within an AI framework.

Toolkit for direct operational command execution across the Binance Smart Chain ecosystem, featuring secure key management, smart contract interaction, and integrated token exchange functionalities.

A production-ready template designed for building Model Context Protocol (MCP) servers using TypeScript. It includes tools for fast testing and development, automated version management, and a maintainable project structure.

Provides operations for interacting with MySQL databases through a standardized interface for AI models.

Deploy a remote MCP server on Cloudflare Workers without authentication. Customize and extend the server with personal tools for better integration with AI models.

An implementation providing Model Context Protocol (MCP) functionality specifically tailored for Lark (Feishu) applications. It facilitates programmatic interaction with the Lark API, focusing on robust management of Bitable (Multidimensional Table) data, encompassing record lifecycle operations (creation, modification, retrieval, purging) and the provisioning of new application and table structures within the Lark ecosystem.

This utility set streamlines interactions with Ethereum Virtual Machine (EVM) blockchains via a type-safe framework for performing operational tasks across various compatible networks. It unifies capabilities for executing direct on-chain functions alongside accessing necessary off-chain data services. This approach mirrors aspects of cloud computing, where scalable, elastic pools of resources are provisioned on demand for self-service use by developers.

Automate web interactions by navigating to URLs, taking screenshots, and executing JavaScript in a cloud-based browser environment without local installations.