by stacklok
Install, manage, and run MCP servers in isolated containers, automatically configure popular AI coding assistants, and connect them to AI agents through a unified UI and CLI.
ToolHive simplifies discovery, deployment, and management of MCP servers. It provides a graphical workflow and a CLI to launch any MCP server securely in a container, with built‑in secret handling and auto‑configuration for AI coding assistants.
Run any Model Context Protocol (MCP) server — securely, instantly, anywhere.
ToolHive is the easiest way to discover, deploy, and manage MCP servers. Launch any MCP server in a locked-down container with just a few clicks. No manual setup, no security headaches, no runtime hassles.
To get started with ToolHive, download the latest release from the website and follow the quickstart guide.
Under the hood, ToolHive runs each MCP server in its own secure container and exposes an HTTP/SSE proxy that MCP clients connect to.
For more advanced use cases, ToolHive is also available as a command-line tool which can be used standalone or side-by-side with the ToolHive UI and as a Kubernetes Operator. Learn more in the ToolHive documentation.
ToolHive uses Sentry for error tracking and performance monitoring to help us identify and fix issues, improve stability, and enhance the user experience. This telemetry is enabled by default but completely optional.
You can easily disable telemetry at any time:
We welcome contributions and feedback from the community!
If you have ideas, suggestions, or want to get involved, check out our contributing guide or open an issue. Join us in making ToolHive even better!
This project is licensed under the Apache 2.0 License.
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