CloudBase-MCP and casibase
These are complements: CloudBase MCP provides a serverless backend connection protocol for AI agents, while Casibase provides the enterprise management platform and knowledge base infrastructure that agents would connect through via MCP.
About CloudBase-MCP
TencentCloudBase/CloudBase-MCP
CloudBase MCP - Connect CloudBase to your AI Agent. Go from AI prompt to live app.
Implements the Model Context Protocol (MCP) to bridge AI IDEs with Tencent CloudBase, enabling AI agents to programmatically deploy full-stack applications through unified APIs for serverless functions, databases, static hosting, and storage. Supports both local Node.js-based execution and cloud-hosted HTTP transport, with built-in AI-optimized templates and automatic debugging via log analysis. Integrates with 15+ AI coding tools (Cursor, WindSurf, CodeBuddy, GitHub Copilot, etc.) and supports Web apps, WeChat mini-programs, and backend services end-to-end.
About casibase
casibase/casibase
⚡️AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-On⚡️, supports ChatGPT, Claude, Llama, Ollama, HuggingFace, etc., chat bot demo: https://ai.casibase.com, admin UI demo: https://ai-admin.casibase.com
Built on a **Golang backend with Python/Flask microservices** connected to MySQL, supporting embeddings-based RAG through vector storage for knowledge base queries. Integrates **30+ LLM providers** (OpenAI, Claude, DeepSeek, Qwen, Gemini, etc.) through a unified model abstraction layer, enabling multi-model orchestration and provider switching. Features **MCP protocol support** for standardized tool integration and A2A communication patterns for autonomous agent coordination.
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