"Yandex Cloud" matching MCP servers:

MCP server that enables cloud models (like Gemini/Claude) to delegate coding tasks to a local llama.cpp server, preserving cloud usage limits through an AI-powered code review loop.

MCP server connecting Claude Code with E2B cloud sandboxes for working on any GitHub repo.

An MCP server that enables AI agents to interact with Modal, allowing them to deploy apps and run functions in a serverless cloud environment.

Enables automation of Google Jules AI coding assistant through task creation, code review automation, repository management, and AI-powered development workflows. Supports multiple session modes including cloud deployment with persistent authentication.

A Model Context Protocol server that integrates Cursor IDE with Bitbucket Cloud, allowing developers to fetch repository information and commit data directly from their Bitbucket workspace.

Enables integration between SAP HANA Cloud Database and Cursor IDE through the Model Context Protocol, providing standardized interfaces for managing ML models and execution contexts.

🗂️ A Model Context Protocol (MCP) server that provides integration with Turso databases for LLMs. This server implements a two-level authentication system to handle both organization-level and database-level operations, making it easy to manage and query Turso databases directly from LLMs.

Enables AI coding agents to manage cloud containers, create and edit files, run commands, and deploy projects directly.

Enables managing E2B cloud sandboxes, templates, filesystems, and processes through Model Context Protocol tools.

Enables seamless integration between MCP-compatible clients (like LM Studio) and Google Gemini API for image generation and multimodal tasks. Provides a hybrid local-cloud workflow combining local LM Studio execution with Gemini's cloud-powered image generation capabilities.

A secure, local communication runtime bridge that interfaces a cloud-based Large Language Model (Claude Desktop) with a local machine execution environment using the Model Context Protocol (MCP).

A fast, secure MCP server that extends its capabilities through WebAssembly plugins. Enables plugins written in any language to be distributed via OCI registries and run across cloud to edge.

AI-powered cloud development IDE, so you can run AI to surf in a secure sandbox environment.

Connects Roblox Studio to AI coding editors via the Model Context Protocol, allowing AI agents to understand and interact with live Roblox Studio sessions through scene manipulation, scripting, and optional Roblox Open Cloud API integration.

A secure MCP (Model Context Protocol) server hosted on Google Cloud Run that enables team collaboration by providing authenticated access via Google Cloud IAM, allowing teams to share custom MCP servers over the internet before official MCP authentication is implemented.

Enables AI assistants to execute Python, JavaScript, Bash, and Go code in blazing-fast (~0.1ms startup), isolated cloud containers with secure, ephemeral environments that auto-destroy after use.

Enables AI clients to securely operate isolated coding workspaces with file, command, Git, and deployment tools via authenticated remote MCP.

Enables users to attach child MCP servers, run sandboxed Python, and transfer large outputs via artifacts through one authenticated Streamable HTTP endpoint exposed by tunnel to a cloud chat client.

Enables cloud AI agents to securely connect to a local Windows machine and execute tools such as system info, file operations, browser automation, and coding tasks through the Model Context Protocol.

Enables ChatGPT to remotely orchestrate local Codex and Claude Code agents for file editing and command execution via a secure Cloudflare tunnel, bridging cloud AI planning with local execution.