by context-space · MCP Server · ★ 804
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Context Space: The First Context Engineering Infrastructure to 10× Your Productivity []() []() English | 中文 Context Space offers unified MCP tools, secure & verified integrations, and a 5-minute setup — perfect for AI agents, automation workflows, and developer tools. As the first context engineering infrastructure, it turns theory into practice by delivering better context and enabling agents to interact effectively with the real world. Our Vision Today's Al agents excel at reasoning but terrible at acting in the real world. They’re cut off from live data and tools, trapped behind scattered APIs, inconsistent sources, and complex authentication.. Context Space changes this. It packages core agent capabilities like task orchestration and memory into standardized, callable tools. With built-in tool discovery a
| Stars | 804 |
| Forks | 81 |
| Language | Go |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 65.5842127742575/100 |
| Open Issues | 1 |
| Last Updated | 2025-10-22 |
| Created | 2025-07-08 |
| Platforms | cli, go, mcp |
| Est. Tokens | ~226k |
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context-space is Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations. It is categorized as a MCP Server with 804 GitHub stars.
context-space is primarily written in Go. It covers topics such as agent, agents, ai.
You can find installation instructions and usage details in the context-space GitHub repository at github.com/context-space/context-space. The project has 804 stars and 81 forks, indicating an active community.
context-space is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to context-space on Agent Skills Hub include trpc-agent-go, better-chatbot, archestra. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.