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    AgentBridge is a local MCP server that lets Claude Code delegate coding tasks to external CLI workers like Codex and Antigravity. It assembles structured prompts, runs the workers with git snapshotting, and returns compact structured results without running its own models.
    3
    1
    MIT
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    jobd is a self-hostable, GPU-aware job broker that queues and routes shell commands across your own machines — picking workers by available VRAM and tool tags, streaming logs back, and surviving across sessions. It ships native MCP integration, so agents can submit, monitor, and control long-running or GPU jobs as tools.
    9
    93 PyPI
    4
    MIT
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    Enables MCP clients to run Google Antigravity CLI (agy) as durable, detached asynchronous jobs with a permission gate and broker-computed verdicts that do not trust agy's own exit code.
    9
    19 npm
    MIT
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    Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.
    MIT
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    Enables a single Antigravity IDE to explicitly drive multiple isolated Antigravity CLI workers, choosing each worker's account, model, skills, task, and expected outputs while the bridge executes those decisions over STDIO with SQLite-backed task state. It returns bounded logs, cancellable task control, and immutable artifact exports whose chunks and whole files can be verified by SHA-256.
    1
    MIT
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    Docker MCP ChatGPT Sandbox is a self-hosted remote MCP server for ChatGPT that runs shell commands and edits code inside a hardened Ubuntu container, with OAuth via Keycloak and optional Cloudflare Tunnel.
    1
    MIT
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    Enables remote MCP clients like ChatGPT to run shell commands and manage files on your local machine via a Cloudflare tunnel, exposing tools for file operations, search, and task management.
    4
    MIT
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    Lets MCP clients such as Claude Code, Cursor, and Claude.ai inspect and drive herdr workspaces, panes, and coding agents over a local socket, running either as a local stdio process or as an OAuth-protected HTTP endpoint published through a Cloudflare Tunnel. It exposes tools to create workspaces and tabs, split panes, start and prompt agents, read their output, and wait for results.
    MIT
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    Enables running authorized file operations, persistent processes, and parallel batches from an MCP client, with durable receipts and artifact verification, and allows reconnecting to collect workers without restarting them.
    MIT
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    Enables Codex or Claude Code to orchestrate persistent Antigravity CLI workers as independent implementers and testers within restricted workspace roots. It supports asynchronous task dispatch, progress polling, result inspection, follow-up messages, and cancellation with bounded, audited local event logging.
    840 npm
    3
    MIT
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    A Rust + Tauri 2 desktop application that turns local project folders into persistent MCP workspaces, enabling AI agents to read files, modify code, run commands and tests, check Git status, and maintain cross-conversation development context through historical checkpoints, with built-in WSS/FRP/Cloudflare tunnels and OAuth for connecting to ChatGPT.
    Apache 2.0
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    Enables a Claude Code cloud session to run shell commands inside a chroot jail on your own computer and to call the MCP servers already installed there, with every request authenticated and relayed over a Cloudflare quick tunnel so no router port is opened and no SSH key or tunnel is ever handed to the cloud VM.
    MIT
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    Enables ChatGPT to safely interact with Windows workspaces through a loopback-only MCP server, with OAuth, bounded PowerShell tools, persistent jobs, and optional Cloudflare Tunnel exposure.
    MIT
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    Enables ChatGPT to work on a local project by reading and editing files, running shell commands, keeping terminals and desktop sessions open, and splitting work across durable workers whose context persists between tasks. Long-running work can be steered mid-flight, tracked with Goal, and carried into fresh chats via Compact & Resume.
    MIT
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    Lets ChatGPT work directly on a local project by reading and editing files, running shell commands and tests, keeping terminals open, and using the user's desktop, all paired with an approved workspace folder. It also splits independent jobs across persistent workers that retain context, while riding the user's existing ChatGPT plan rather than Codex quota.
    MIT
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    Enables AI assistants to securely connect to and execute commands on a remote Linux server via Cloudflare Tunnel, with bearer-token authentication.
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