ToolHive vs Context
Side-by-side comparison for macOS
ToolHive
6.5Desktop application to install, manage, and run MCP servers
Context
7.0MCP client and inspector
| Metric | ToolHive | Context |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 6.5 | 7.0 |
| 30-day Installs | 26 | 19 |
| 90-day Installs | 100 | 73 |
| 365-day Installs | 100 | 358 |
| Version | 0.40.0 | 1.0.10 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | 142 | 778 |
| GitHub Forks | 22 | 30 |
| Open Issues | 84 | 10 |
| License | Apache-2.0 | MIT |
| Language | TypeScript | Swift |
| Last GitHub Commit | 1mo ago | 6mo ago |
| First Seen | Jul 2, 2026 | Jul 8, 2025 |
Reviews
ToolHive
ToolHive is a unique application designed for managing Minecraft PE (MCP) servers, offering features to install, manage, and connect servers to AI agents. It benefits Minecraft server administrators and developers looking for a streamlined management tool.
ToolHive allows users to install, manage, and run Minecraft PE (MCP) servers and connect them to AI agents.
Pros
- + Specialized tool for managing MCP servers
- + Integration with AI agents for server interaction
- + Open-source with active development
- + Cross-platform support
Cons
- - Lack of auto-update feature
- - Limited community engagement and support
Context
Context is a native macOS client for the Model Context Protocol (MCP), offering tools for inspecting and managing AI model contexts. It's ideal for AI developers and researchers working with large context windows, providing a specialized solution for context engineering tasks.
Context acts as an MCP client and inspector, enabling users to interact with and manage AI model context data on macOS.
Pros
- + Native macOS integration for a seamless experience
- + Specialized tool for MCP, addressing a specific but important niche
- + Active development and responsive issue resolution
Cons
- - Niche focus may limit its appeal beyond specific users
- - Low installation count suggesting limited adoption