context-space

Context Space: The First Context Engineering Infrastructure to 10× Your Productivity

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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.

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 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.

Start Context Engineering with Context Space

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.

🚀 One-Click AI Integration

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"

Live Demo

1️⃣ OAuth Flow in Action

Simple OAuth setup - no more config file editing

2️⃣ Star a GitHub Repository

GitHub integration - Star repositories with natural language

3️⃣ Web Search

Real-time web search - get the latest information instantly

Try Live: https://context.space/integrations

Roadmap: From Foundation to Frontier

Our development is structured in clear phases, evolving from the robust production foundation available today to the intelligent context engine of tomorrow.

1️⃣ Phase 1: Production-Ready Foundation (Available Now)

The initial phase solves the most critical challenges of using context protocols in production environments, delivering a stable, secure, and scalable infrastructure.

2️⃣ Phase 2: The Intelligent Context Layer ( In Development)

Building on this foundation, our future work focuses on enabling more advanced AI capabilities.

Roadmap Timeline:

Supported Services & Context Sources

Production-Ready Integrations

✅ 14+ integrations ready to use • More being added weekly

View All Integrations →

📖 API Documentation

Quick API Examples

🔐 Authentication

curl -H "Authorization: Bearer <jwt-token>" \
     https://api.context.space/v1/users/me

🔗 Create OAuth Authorization URL

curl -H "Authorization: Bearer <jwt-token>" \
     -X POST \
     https://api.context.space/v1/credentials/auth/oauth/github/auth-url

⚡ Execute Operations

curl -H "Authorization: Bearer <jwt-token>" \
     -X POST \
     https://api.context.space/v1/invocations/github/list_repositories

Complete API Documentation: http://api.context.space/v1/docs

Contributing

You are invited to help shape the future of context engineering.

Quick Contributing Guide

1. Sign the CLA: Comment "I have read the CLA Document and I hereby sign the CLA" on your first PR
2. Fork & Branch: git checkout -b feat/amazing-feature
3. Follow Standards: Use make lint and include tests
4. Submit PR: With clear description

Full Contributing Guide: CONTRIBUTING.md

Good First Issues

See All Issues →

License

Current License: AGPL v3 → Apache 2.0 Transition

Why this approach?

• Now: AGPL v3 protects during our startup phase
• Future: Apache 2.0 transition (as community grows) for maximum adoption
• CLA: Contributors sign our CLA enabling this transition

Community & Support

Context Space is a community-driven project. We believe the best infrastructure is built in the open, with developers from all over the world contributing their ideas and expertise. Every contribution, big or small, helps us push the boundaries of what's possible.

Join Our Growing Community

Resources

• API Documentation - Complete API reference
• Discord Community - Real-time chat and collaboration
• GitHub Discussions - Community Q&A
• Issues - Bug reports & feature requests

🌟 Star & Share the Project

Starring the repository increases our visibility and helps other developers discover the project. If you like Context Space, don't hesitate to share it on Twitter, Reddit, or with your colleagues.

[](https://github.com/context-space/context-