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ToolHive

Community
Gateway / proxy
Run any MCP server securely, instantly, anywhere.

This gateway aggregates or proxies other MCP servers; it only becomes useful once you connect real servers behind it.

How to install ↓ Compare GitHub source repository ↗
Category
Dev Tools #374 of 438
Stars
★ 171 Popular
Runtime
Docker
Credentials
No credential needed
License
Apache-2.0
Last commit
37FMRS · D

ToolHive provides a user-friendly way to run and manage MCP servers in secure containers. It is suitable for users needing quick, secure deployment, but it is not an MCP server implementation itself; it provides no tools, but manages servers.

Strongest · Maintenance 10/20 Weakest · Reliability 5/20

Reliability
5/20
Security and permissions
7/20
Maintenance
10/20
Documentation
9/20
Setup experience
6/20
Why each score
Reliability 5/20
Evidence is limited to the README; the product description is coherent and non-contradictory, but the server manifest is not cached and there are no verifiable CI workflows or test files in the evidence. A static review cannot confirm the MCP init handshake, tool list, or declared behavior. The repository is fundamentally a desktop application that manages/proxies MCP servers rather than a server implementing MCP tools itself, so the core protocol path is unverifiable. Deductions: no executable evidence, no manifest, no committed tests.
Security and permissions 7/20
The README claims each MCP server runs in an isolated container and that secrets are never stored in plaintext, which is positive; however, these are README assertions that cannot be verified from source or configuration, and least-privilege details, confirmation of dangerous operations, and data boundaries are not documented. Sentry telemetry is enabled by default with only a manual opt-out, a clear privacy deduction. No red lines are triggered: no malware, credential theft, covert exfiltration, or irreversible dangerous defaults were evident. Deductions: unverifiable security model and default-on telemetry.
Maintenance 10/20
The Apache-2.0 license is explicit, the repository is not archived, and the README references release badges, CI status, a Discord community, and a contributing guide, indicating an actively maintained project. However, commit frequency, issue response time, dependency updates, and release governance cannot be verified from the provided evidence, and 80 open issues give no signal about triage velocity. Deductions: no verifiable commit/issue/dependency data and unclear governance details.
Documentation 9/20
The README is well structured with screenshots, architecture diagrams, quick links, a documentation site, a developer guide, and a clear privacy/telemetry section including opt-out steps, showing good layered documentation intent. However, install steps, client configuration examples, and troubleshooting all live in external links that cannot be reviewed here; tool parameters, limits, and cost either do not apply or are absent for this desktop application. Deductions: key operational docs are external and not auditable from this evidence.
Setup experience 6/20
The README claims Windows/macOS/Linux support and auto-configuration for clients such as GitHub Copilot, Cursor, and Claude Code, but installation is described only as 'download from the website and follow the quickstart', with no verifiable install commands, system dependencies, or client configuration examples in the repository evidence. Configuration samples and troubleshooting are external links, and the static calibration caps the score without verifiable execution evidence. Deductions: unspecified install mechanism and no concrete config examples.

Static review · not runListed 2026-08-07

Read the FMRS scoring method →

Fit and risk

What it can accessRuns commands or codeUses the network

Best for

  • Developers who want to run MCP servers quickly and securely
  • People who need MCP servers across multiple AI clients with consistency
  • Users who want to avoid manual configuration

Not for

  • Developers who need to run MCP on servers without a GUI (CLI version may exist but not documented here)
  • Users needing Kubernetes-native MCP deployment (Operator mentioned but not documented)

Required permissions

  • Network access to download MCP server images and communicate with clients
  • Container runtime to create and manage containers
  • Filesystem access for mounting directories for persistence
  • Secret management to securely store server credentials

Risks and side effects

  • MCP servers may contain malicious code, but container isolation reduces risk
  • Security depends on container runtime configuration
  • Telemetry collects usage data but can be disabled in settings

Setup

Before you start

Runtime：Docker

Download the latest release from https://toolhive.dev/download/ and follow the quickstart guide.

Check that it works

Download and install ToolHive Desktop from toolhive.dev/download, then open the UI and launch an MCP server via the graphical workflow; installation is confirmed if the server runs in an isolated container, exposes its HTTP/SSE proxy, and connects to clients like GitHub Copilot, Cursor, or Claude Code.

Troubleshooting

  1. Ensure a container runtime (e.g., Docker) is installed and running
  2. Verify MCP server configuration and that server addresses are reachable
  3. Check network connectivity and proxy settings
  4. Ensure sufficient permissions to run containers and access directories

Use cases

Quickly launch any MCP server via a graphical workflow
Auto-configure MCP servers for AI clients like Copilot, Cursor, and Claude Code
Securely run MCP servers in isolated containers

Supported clients

GitHub Copilot
Cursor
Claude Code

Listed from the project's documentation, not tested by this site.

Overview

ToolHive is a desktop application that lets you discover, deploy, and manage MCP servers through a graphical interface. Each server runs in an isolated container with only the permissions it needs, and secrets are managed securely. ToolHive auto-configures popular AI clients like GitHub Copilot, Cursor, and Claude Code.

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Source revision 9b0b3df92cfc Data synced 2026-10-12 Read the FMRS scoring method