ToolHive Studio
ToolHive is an application that allows you to install, manage and run MCP servers and connect them to AI agents
What is ToolHive Studio?
ToolHive Studio is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to toolhive is an application that allows you to install, manage and run mcp servers and connect them to ai agents
ToolHive is an application that allows you to install, manage and run MCP servers and connect them to AI agents
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- ToolHive is an application that allows you to install, manag
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx toolhive-studioConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use ToolHive Studio
ToolHive Studio is a desktop application for Windows, macOS, and Linux that simplifies installing, managing, and running MCP servers by providing a graphical workflow over what is otherwise a manual JSON configuration process. Each MCP server runs in its own isolated secure container with minimal permissions, and ToolHive automatically configures client integrations for popular AI tools including GitHub Copilot, Cursor, Claude Code, and Continue. Teams and individual developers use it as a central hub to manage their entire MCP server fleet without editing JSON config files by hand or dealing with per-server dependency issues.
Prerequisites
- Windows, macOS, or Linux operating system
- An MCP-compatible AI client such as Claude Code, GitHub Copilot, Cursor, or Continue already installed
- Internet access to download ToolHive Studio from https://toolhive.dev/download/
- Administrator or sudo access may be required for container runtime installation
Download and install ToolHive Studio
Visit https://toolhive.dev/download/ and download the installer for your operating system. Run the installer and follow the on-screen instructions. ToolHive handles configuration automatically and no manual setup is required.
Launch ToolHive Studio
Open ToolHive Studio from your applications folder or start menu. On first launch it will set up the container runtime and detect any existing MCP-compatible AI clients on your machine.
Browse and install MCP servers
Use the built-in server catalog to browse available MCP servers. Click Install next to a server and ToolHive will download it, run it in a sandboxed container, and configure the HTTP/SSE proxy automatically.
Connect MCP servers to your AI clients
After installing a server, use the Connect button to automatically update your AI client's configuration (GitHub Copilot, Cursor, Claude Code, or Continue) to point at the server's HTTP/SSE proxy endpoint. No manual JSON editing is needed.
Manage and monitor running servers
From the main dashboard you can start, stop, restart, and view logs for each installed MCP server. Adjust telemetry settings from Settings > Telemetry if you wish to opt out.
ToolHive Studio Examples
Client configuration
ToolHive Studio auto-configures your AI client, but for manual reference, servers are exposed via an HTTP/SSE proxy. A typical auto-generated entry looks like this.
{
"mcpServers": {
"toolhive-managed-server": {
"url": "http://localhost:<port>/sse",
"transport": "sse"
}
}
}Prompts to try
After connecting MCP servers via ToolHive Studio, use these types of prompts with your AI client.
- "List all the MCP servers currently managed by ToolHive"
- "What tools are available from the GitHub MCP server I installed?"
- "Search my codebase for all API calls to the payment service"
- "Use the installed Brave Search MCP to find recent articles about MCP servers"
- "Run the filesystem MCP tool to list files in my Documents folder"Troubleshooting ToolHive Studio
MCP server fails to start with a container runtime error
ToolHive uses containers to isolate MCP servers. Ensure a compatible container runtime (such as Docker Desktop or Podman) is installed and running on your machine. On macOS, open Docker Desktop and confirm the engine is started before launching ToolHive Studio.
AI client does not see new servers after ToolHive configures them
Most AI clients (Claude Code, Cursor, GitHub Copilot) require a restart to pick up new MCP server configurations. After ToolHive performs auto-configuration, fully quit and relaunch your AI client. Check ToolHive's connection status indicator to confirm the server is running before restarting the client.
Cannot download ToolHive Studio — download page is unavailable
Check https://toolhive.dev for service status. The project is also available on GitHub at https://github.com/stacklok/toolhive-studio where you can find releases, source builds, and issue tracking if the main site is down.
Frequently Asked Questions about ToolHive Studio
What is ToolHive Studio?
ToolHive Studio is a Model Context Protocol (MCP) server that toolhive is an application that allows you to install, manage and run mcp servers and connect them to ai agents It connects AI assistants to external tools and data sources through a standardized interface.
How do I install ToolHive Studio?
Follow the installation instructions on the ToolHive Studio GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with ToolHive Studio?
ToolHive Studio works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is ToolHive Studio free to use?
Yes, ToolHive Studio is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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Browse More Developer Tools MCP Servers
Explore all developer tools servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up ToolHive Studio in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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