Cloud Services MCP Repositories

A unified interface to interact with various Firebase services including Authentication, Firestore, and Storage.

Develop automated, event-driven sequences that link disparate applications and services. Construct these routines utilizing pre-built modules or custom scripting in environments like Node.js, Python, Golang, or Bash, ensuring reliable, asynchronous data transmission to endpoints such as Amazon S3 and Snowflake.

Converts Clash subscriptions into Proxy Provider and External Group formats, simplifying proxy management by consolidating proxy servers from multiple subscriptions into a single configuration file.

A Model Context Protocol (MCP) bridge enabling LLMs, including Claude, to execute Create, Read, Update, and Delete (CRUD) operations against PostgreSQL databases managed via a Supabase instance, thereby streamlining data lifecycle management and facilitating instantaneous data synchronization for applications.

Enable database interactions through the execution of SQL queries, the creation of tables, and exploration of schema information for efficient data management.

Connects Jenkins with AI language models to automate and manage CI/CD pipelines, facilitating secure interaction with Jenkins tools and simplifying job management and build monitoring.

Simulates and interacts with a CO2 sensor device, providing real-time monitoring of CO2 levels and device connectivity management. Supports both simulation and real modes, with JSON-RPC for device interaction and data publishing.

Efficiently index and query OpenAPI endpoints, enhancing API specification analysis through semantic search and reliable execution capabilities.

Expose local servers that are behind NATs or firewalls to the Internet, enabling seamless access to internal services via TCP, UDP, HTTP, and HTTPS protocols. Facilitate easier networking setups with features like P2P connections and custom domain support.

Connects DeepSeek's language models with MCP-compatible applications, enabling users to integrate advanced AI capabilities seamlessly. Offers anonymous access to the DeepSeek API while masking user identity behind a proxy.

Connects Obsidian Vaults stored in iCloud Drive to AI via the Model Context Protocol (MCP), facilitating data retrieval and interaction with notes. Designed for MacOS, it enhances personal knowledge management by leveraging AI capabilities directly within the Obsidian environment.

A dedicated Model Context Protocol (MCP) backend for interfacing with GitHub's extensive suite of APIs, enabling sophisticated automation, data retrieval, and workflow orchestration for software development teams.

The Browserbase MCP Server automates web browsing tasks in the cloud, allowing AI applications to navigate websites, capture screenshots, and run JavaScript code. This makes it easier to gather data from the web and integrate it into various AI solutions.

Integrate with the Confluence API to access and manipulate Confluence data. Execute CQL queries and retrieve page content seamlessly.

A high-velocity, statically-generated personal digital publication platform, engineered using Astro and React. It emphasizes superior frontend responsiveness through the integration of Tailwind CSS styling and leverages an external decoupled content repository for sophisticated content lifecycle administration.

Enhance microservices with advanced flow control, traffic shaping, and circuit breaking capabilities. Monitor services in real-time while managing performance under varying loads through customizable rules and integration with popular frameworks.

This utility acts as a proxy layer, facilitating access to diverse artificial intelligence models hosted via the OpenRouter.ai service. It implements robustness features like response caching, traffic throttling management, and standardized failure reporting, mirroring principles found in scalable cloud computing resource pools described by ISO.

Leverage OpenAI's API to interact with tools and data sources in real-time. Enables dynamic querying and action performance for enhanced application capabilities.

Runs code in secure, isolated Docker containers, preventing unintended consequences from untested code execution. Provides a configurable execution environment for LLMs to safely test code locally.

A simple server for accessing networks and integrating various tools to enhance applications and workflows. It facilitates seamless connections to existing systems for efficient data handling and functionality.

A centralized Model Context Protocol engine for interrogating and governing data endpoints accessible via the cloud. Facilitates execution of structured query language commands, metadata schema retrieval, and invocation of remote functions. Incorporates advanced analytical processing streams for enhanced, data-informed strategy formulation.

Generates high-quality images using Google's Imagen 3.0 model via the Gemini API, manages image files with intelligent naming, and creates HTML previews for local viewing. Integrates seamlessly with MCP-compatible hosts for enhanced AI capabilities.

Facilitates interaction with Neo4j databases by enabling users to issue natural language commands that are translated into Cypher queries. Allows users to manage graph instances, analyze data, and store contextual information directly in Neo4j.

Orchestrates the automated transfer of Cloudflare project configurations into a designated GitHub repository for reliable archival and version control.

Facilitates interaction with Gmail accounts, enabling functionalities such as searching, reading, deleting, and sending emails through an AI agent.

Interact with Modal volumes and deploy applications within a local development environment, managing files and directories efficiently.

A Model Context Protocol endpoint for seamless interaction with ClickUp organizational structures and task flows via artificial intelligence agents.

Retrieves Azure activity logs and executes Kusto Query Language queries on Log Analytics workspaces. Provides tools for error analysis and activity log summarization through predefined prompts.

Enables efficient parallel searching on Google using multiple keywords, automatically handling verification challenges and returning structured search results in JSON format for analysis.

Provides advanced scraping, crawling, and data extraction capabilities to convert web content into structured formats. Facilitates the collection of clean data from any website for AI applications.