context-space

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Ультимативная инфраструктура инжиниринга контекста, начиная с MCP и интеграций

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Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

MCP-серверКатегория: MCP-серверы · ИИ и память · SDK и фреймворкиOpen sourceданные проверены 16 окт. 2026 г.

Обзор

  • agent
  • agents
  • ai
  • ai-agent
  • context-engineering
  • go
  • golang
  • mcp
  • mcp-client
  • mcp-server
  • model-context-protocol
  • nextjs

Установка

Команды только показываются, маркетплейс их не выполняет. Сверяйтесь с официальной документацией.
  • Официальный сайтИз публичных источниковиз метаданных каталога
    context.space/ ↗
  • Сборка из исходниковИз публичных источниковиз метаданных каталога

    Сборка из исходников: проверенного рецепта сборки нет — следуйте инструкциям репозитория.

    github.com/context-space/context-space ↗

Совместимость

«Неизвестно» значит, что доказательств не найдено, а не что продукт несовместим.
ПлатформаСтатусАрхитектураДоказательствоУверенность
Claude (web & desktop)Неизвестно———
Claude CodeНеизвестно———
CursorНеизвестно———
VS CodeНеизвестно———
WindsurfНеизвестно———
ChatGPTНеизвестно———

Релизы

проверено 30 окт. 2026 г.
В источнике релизы не найдены.

Профиль качества

алгоритм quality-v1.0 · оценено 16 окт. 2026 г.
Оценка качества57
Оценка риска0
Уверенность 1.00
Оценка качества и оценка риска — разные показатели. Высокое качество не гарантирует безопасность.

Составляющие оценки

Поддержка · 206
last activity 358 days ago
Документация · 1515
README 10015 chars, description present
Готовность к использованию · 150
install instructions: no; releases: no
Метаданные · 1010
4/4 of description, homepage, license, topics
Релизы · 102
0 release(s)
Точность категории · 107
classifier confidence 0.65
Популярность · 107
812 stars (log-dampened, 10k = max)
Ясность лицензии · 55
SPDX AGPL-3.0
Сообщество · 55
issues enabled, 82 forks

Лицензия

AGPL-3.0
Лицензия известнапо данным хостинга репозитория

Это статус политики каталога, а не юридическое заключение.

Источники

github.com/context-space/context-spaceОсновной★ 812 звёздактивность 22 окт. 2025 г.Основной репозиторий · Уверенность 1.00

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README

Из context-space/context-space · лицензия AGPL-3.0 · загружено 30 окт. 2026 г.

[Context Space]

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

[License] [Go Version] [Docker] [Build Status] [API Docs] [Contributors]

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 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

[OAuth Demo]

2️⃣ Star a GitHub Repository

GitHub integration - Star repositories with natural language

[GitHub Star Demo]

3️⃣ Web Search

Real-time web search - get the latest information instantly

[Web Search Demo]

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.

Challenge in ProductionThe Context Space Solution
Manual, Insecure Credential HandlingOne-Click OAuth & Vault Security:Connect to 14+ services with secure OAuth flows, backed by HashiCorp Vault for enterprise-grade credential management.
Inconsistent and Complex APIsA 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 ServersUnified Context Plane with Tool Aggregation:Connect once, and access everything. Manage all capabilities from a single mcp server endpoint.

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:

TimelineKey FeaturesMCP Integration
Next 6 monthsNative MCP Support, Context Memory, Smart AggregationFull MCP protocol compatibility
6-12 monthsSemantic Retrieval, Context Optimization, Real-time UpdatesEnhanced MCP tool capabilities
12+ monthsContext Synthesis, Predictive Loading, AI Context ReasoningAdvanced MCP ecosystem features

Supported Services & Context Sources

Production-Ready Integrations

ServiceCategoryAuthContext CapabilitiesStatus
GitHubDevelopmentOAuthCode repos, issues, PRs, commit historyReady
SlackCommunicationOAuthTeam conversations, channels, workflowsReady
AirtableData ManagementOAuthStructured business data, CRM recordsReady
HubSpotCRMOAuthCustomer data, sales pipeline, interactionsReady
NotionKnowledgeOAuthDocumentation, project plans, wikisReady
SpotifyPersonalOAuthMusic preferences, listening patternsReady
StripeFinancialAPI KeyPayment data, customer behaviorReady
More...VariousVarious5+ additional integrationsReady

✅ 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.

[Contributors]

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

TypeDifficultyExamples
Bug FixesEasyFix API response formatting
DocumentationEasyImprove API examples
New IntegrationsMediumAdd Discord/Twitter support
Context FeaturesHardImplement semantic search

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
StakeholderTodayTomorrow
👥 UsersFree production accessBroader ecosystem compatibility
👨‍💻 ContributorsProtected from exploitationMaximum community reach

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

[Twitter] [Discord]

Resources


🌟 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.

[GitHub stars] [GitHub forks]

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