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Context Space is a production-ready infrastructure layer for Context Engineering, making it easy to seamlessly adopt MCP servers and connect AI agents to external data and services. While the industry focuses on prompt engineering, we believe the next frontier lies in Context Engineering that provides AI systems with the right information, at the right time, in the right format.
🔗 Zero-Config Integrations • 🔐 Enterprise-Grade Security • 🚀 Production Ready • 🤖 Context Engineering
As Andrej Karpathy recently noted, context engineering is becoming the foundation for reliable AI systems that can operate in complex, real-world environments.
Context engineering is the systematic design and management of all information surrounding an AI model during inference. Context engineering builds upon and extends prompt engineering. While prompt engineering optimizes what you say to the model, context engineering governs what the model knows when it generates a response.
Key Components:
- System Instructions - Rules and examples that guide model behavior
- Dynamic Memory - Conversation history and persistent knowledge
- Retrieved Information - Real-time data from documents, APIs, and databases
- Available Tools - Functions the model can use (search, send_email, etc.)
- User State - Preferences, context, and session information
When MCP (Model Context Protocol) appeared in late 2024, the vision was spot-on: a standardized way for AI tools to securely access external data and services. MCP represented a breakthrough in thinking about how AI agents should interact with the world.
Recognizing MCP as the perfect foundation, we built Context Space to extend its vision into production-ready infrastructure.
Today, Context Space delivers a secure integration layer with persistent credential management. Guided by MCP’s principles, we are expanding this foundation into a complete context engineering platform for the next generation of AI.
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 production environments, delivering a stable, secure, and scalable infrastructure.
| Challenge in Production | The Context Space Solution |
|---|---|
| Manual, Insecure Credential Handling | One-Click OAuth & Vault Security: Connect to 14+ services with secure OAuth flows, backed by HashiCorp Vault for enterprise-grade credential management. |
| Inconsistent and Complex APIs | A Single, Unified RESTful API: Interact with all services through one clean, consistent, and reliable API that you'll actually enjoy using. |
| Complex Deployment & Scattered MCP Servers | Unified Context Plane with Tool Aggregation: Connect once, and access everything. Manage all capabilities from a single mcp server endpoint. |
Building on this foundation, our future work focuses on enabling more advanced AI capabilities.
Roadmap Timeline:
| Timeline | Key Features | MCP Integration |
|---|---|---|
| Next 6 months | Native MCP Support, Context Memory, Smart Aggregation | Full MCP protocol compatibility |
| 6-12 months | Semantic Retrieval, Context Optimization, Real-time Updates | Enhanced MCP tool capabilities |
| 12+ months | Context Synthesis, Predictive Loading, AI Context Reasoning | Advanced MCP ecosystem features |
| Service | Category | Auth | Context Capabilities | Status |
|---|---|---|---|---|
| GitHub | Development | OAuth | Code repos, issues, PRs, commit history | Ready |
| Slack | Communication | OAuth | Team conversations, channels, workflows | Ready |
| Airtable | Data Management | OAuth | Structured business data, CRM records | Ready |
| HubSpot | CRM | OAuth | Customer data, sales pipeline, interactions | Ready |
| Notion | Knowledge | OAuth | Documentation, project plans, wikis | Ready |
| Spotify | Personal | OAuth | Music preferences, listening patterns | Ready |
| Stripe | Financial | API Key | Payment data, customer behavior | Ready |
| More... | Various | Various | 5+ additional integrations | Ready |
✅ 14+ integrations ready to use • More being added weekly
curl -H "Authorization: Bearer <jwt-token>" \
https://api.context.space/v1/users/mecurl -H "Authorization: Bearer <jwt-token>" \
-X POST \
https://api.context.space/v1/credentials/auth/oauth/github/auth-urlcurl -H "Authorization: Bearer <jwt-token>" \
-X POST \
https://api.context.space/v1/invocations/github/list_repositoriesComplete API Documentation: http://api.context.space/v1/docs
You are invited to help shape the future of context engineering.
- Sign the CLA: Comment "I have read the CLA Document and I hereby sign the CLA" on your first PR
- Fork & Branch:
git checkout -b feat/amazing-feature - Follow Standards: Use
make lintand include tests - Submit PR: With clear description
Full Contributing Guide: CONTRIBUTING.md
| Type | Difficulty | Examples |
|---|---|---|
| Bug Fixes | Easy | Fix API response formatting |
| Documentation | Easy | Improve API examples |
| New Integrations | Medium | Add Discord/Twitter support |
| Context Features | Hard | Implement semantic search |
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
| Stakeholder | Today | Tomorrow |
|---|---|---|
| 👥 Users | Free production access | Broader ecosystem compatibility |
| 👨💻 Contributors | Protected from exploitation | Maximum community reach |
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.
- 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.
