"Google Cloud Composer" matching MCP servers:

An MCP server for automating Google Jules that enables seamless integration for task creation, code analysis, and AI-powered development workflows. It supports multiple session modes including Browserbase and cookie-based authentication for both local and cloud environments.

Provides MCP tools to create, run commands in, checkpoint, and delete durable cloud environments, giving coding agents persistent state between calls.

An MCP server that lets AI coding assistants delegate work to Capy's cloud agents and wait for results, all within the editor.

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.

Enables LLMs to create and manage Google Jules coding sessions programmatically.

Enables AI assistants and other MCP clients to launch and steer Cursor Cloud Agents on repositories or as repo-less research tasks, including model selection, mid-run follow-ups, cancellation, result retrieval, and run listing. Also exposes authentication checks and per-agent or per-run token usage and cost reporting.

Enables AI assistants and MCP clients to launch and manage Cursor Cloud Agents on repositories or without one, select models, follow up mid-run, retrieve or cancel results, and check usage and cost.

MCP server for Google Jules enabling LLMs to create coding sessions with automatic pull request creation from issues or custom prompts.

MCP server that exposes Google Jules AI agent as tools, allowing local AI agents to list authorized repositories and delegate coding tasks to Jules, receiving session URLs for tracking.

Enables Claude or any MCP client to drive the GitHub Copilot cloud agent via its REST API, allowing it to research, edit, and open pull requests on repositories without manual intervention.

Enables delegating coding tasks to Cursor Cloud Agents from Claude Code, Codex, or Grok, with scoped repository access, progress monitoring, follow-ups, and result reporting.

Enables interaction with Google Jules API to automate software development tasks, such as managing sources, sessions, and activities for AI-powered coding assistance.

Unofficial MCP server for Google's Jules AI coding agent that lets AI assistants create and manage asynchronous coding tasks through the Jules API v1alpha.

Bridges Google Antigravity CLI with MCP clients, enabling 13 specialized tools for AI-assisted coding, automation, and security audits.

Enables dispatching and managing Google Jules coding tasks across multiple accounts, including parallel cloud chores, local patch reconciliation, preflight conflict checks, and automated GitHub PR workflows.

Send requests to OpenAI, MistralAI, Anthropic, xAI, or Google AI using MCP protocol via tool or predefined prompts. Vendor API key required

Secure MCP server allowing ChatGPT to manage Google Jules sessions through OpenAI Secure MCP Tunnel.

Instant secure Full Stack Apps and AI Agents

An MCP server that exposes Google Jules Agent operations, enabling MCP-compatible clients to list sources, manage sessions, and inspect activities via the jules-agent-sdk.

Enables AI coding agents to set budgets per task, check costs before expensive operations, and halt when budget is exhausted, with support for calibration and cloud sync.

Enables AI assistants to create and manage Cursor Cloud Agents that autonomously work on GitHub repositories, including creating tasks, monitoring progress, and automatically generating pull requests.

An AI-agent-first framework for building MCP servers that deliver interactive React widgets directly within AI chat interfaces like ChatGPT and Claude. It includes automated visual testing and a zero-config local development environment designed for autonomous agent workflows.

Privacy-first, read-only repo intelligence for AI coding agents: scans local codebases and recommends MCP servers, repos, and research without sending data to the cloud.

Enables programmatic control of Cursor's cloud-based AI agents for automated code generation and repository management via standardized MCP tools.

Send requests to OpenAI, MistralAI, Anthropic, xAI, or Google AI using MCP protocol via tool or predefined prompts. Vendor API key required. Both STDIO and SSE transport mechanisms are supported via arguments.

An MCP server that uses Google Antigravity subagents as parallel workers for coding agents, enabling efficient task delegation with compact results.

Enables orchestrator models to delegate code creation and editing to Cursor's Composer 2 or Grok 4.5 agents, keeping the orchestrator's context free and shifting bulk code generation to cheaper agents.

A local MCP server that delegates coding tasks to local Qwen and cloud Gemini models, enabling orchestrators like Claude Code to offload routine code generation and receive verified results with automatic correction logging.

Enables MCP clients to route coding tasks across local and cloud models with explicit budgets, repository planning and execution, and independent validation/repair checks.

Enables MCP clients to launch, supervise, inspect, cancel, and clean up autonomous coding jobs executed by the Google Antigravity CLI in isolated git worktrees and branches, with optional verification, review, and security auditing.

AI-native open-source 2D game engine whose MCP server exposes every editor operation to coding agents as typed commands, so an agent can build, run, and verify a game inside the editor. It runs locally on macOS, Windows, and Linux with no cloud service or API key.

A Model Context Protocol (MCP) server implementation for the Google Gemini language model. This server allows Claude Desktop users to access the powerful reasoning capabilities of Gemini-2.0-flash-thinking-exp-01-21 model.

Enables Google Gemini to autonomously read, write, search, and patch code files and run whitelisted developer commands inside a sandboxed local workspace for edit-and-verify coding workflows.

Lets Codex delegate coding and repository work to an installed Claude Code CLI with permission-aware inspect/write access, model and effort selection, resumable and cloud-attached sessions, and durable synchronous or asynchronous jobs.

Local-first MCP server that indexes all projects on your machine and provides coding agents with briefings about each project's stack, services, and run instructions, so they can start sessions with context across all repos. No cloud, no accounts, no telemetry.

A hosted AI software engineer that writes code, opens PRs, reviews code, generates tests, runs security scans, and answers codebase questions. Connect from any MCP client (Claude Code, Cursor, Windsurf, or your own agents) and delegate engineering tasks.

Integrates Google Antigravity's agy agent into MCP, enabling asynchronous delegation of complex tasks like code analysis and file management with job polling.

A paid remote MCP server for OpenAI Codex harness, offering structured JSON tools for coding task planning, safe command suggestions, test verdict recording, and run history.

An MCP server that leverages Google Antigravity SDK and Gemini Enterprise Agent Platform to provide AI-driven code review and task execution via natural language.

Enables AI clients to run Google Antigravity coding sub-agents as MCP tools, with synchronous and asynchronous execution, task polling, and sandboxed Docker workspace isolation.