Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"context-space": {
"command": "<see-readme>",
"args": []
}
}
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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.
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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.
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 and recommendation, it gives agents a clear, controllable, and interpretable path to invoke real-world context.
Context Space makes AI agents truly usable. By combining enterprise-grade security with zero-config simplicity, we are building tool-first context engineering infrastructure that enable agents to seamlessly and securely interact with any service or data source.
Context engineering is the foundation for building reliable AI agents. It goes beyond prompt engineering by managing not only what users say to the model, but also the broader context that shapes its behavior, such as tools, memory, and data.
MCP defines a standard path for agents to securely access real-world services. Context Space brings that vision to life by turning MCP into production-ready infrastructure.
Today, Context Space delivers a secure integration layer with persistent credential management. Guided by MCP principles, it’s evolving into a complete context engineering platform for the next generation of AI.
Transform your AI assistant into a powerful agent in seconds.
Cursor IDE - One-click install via cursor:// deep links. Click "Add to Cursor" and instantly give Claude access to GitHub, Slack, Notion, and 38+ services without editing any JSON files.
Claude Code - Simple CLI integration:
claude mcp add "context-space" https://api.context.space/api/mcp --header "Authorization: Bearer YOUR_API_KEY"
Simple OAuth setup - no more config file editing

GitHub integration - Star repositories with natural language

Real-time web search - get the latest information instantly

Try Live: https://context.space/integrations
Our development is structured in clear phases, evolving from the robust production foundation available today to the intelligent context engine of tomorrow.
The initial phase solves the most critical challenges of using context protocols in producti