Context Space provides an infrastructure layer for AI agents to securely and efficiently access real-world data and services, addressing the gap between AI reasoning and real-world action. It targets AI developers and researchers building agentic systems, offering a unified API and secure credential management to simplify integration with over 14 services like GitHub, Slack, and Notion.

How It Works

The project implements the "MCP" (Meta-Context Protocol) standard, packaging core agent capabilities into standardized, callable tools. It offers a single, unified RESTful API for all integrated services, abstracting away complexities of individual APIs and authentication. This approach provides agents with a clear, controllable, and interpretable path to invoke real-world context, enhancing their ability to act effectively.

Quick Start & Requirements

• Install: Docker is supported. CLI integration via claude mcp add.
• Prerequisites: API key required for authentication.
• Demo: Live demos available at https://context.space/integrations.
• API Docs: Available at http://api.context.space/v1/docs.

Highlighted Details

• Offers one-click AI integration for services like Cursor IDE.
• Features secure, persistent credential management using OAuth and HashiCorp Vault.
• Provides a unified RESTful API for over 14 services, with more added weekly.
• Roadmap includes native MCP support, context memory, and semantic retrieval.

Maintenance & Community

The project is community-driven, welcoming contributions. Resources include API documentation, a Discord community, GitHub Discussions, and an issue tracker.

Licensing & Compatibility

Currently licensed under AGPL v3, with plans to transition to Apache 2.0. A Contributor License Agreement (CLA) is required for contributions, enabling the future license transition.

Limitations & Caveats

The project is in active development, with advanced features like semantic retrieval and context synthesis planned for future phases. The AGPL v3 license may have implications for commercial or closed-source use.