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Build AI-native IDE products quickly with integrated MCP tool support.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "core" yet — see the docs or source repo.
Using the core framework, design an AI-native IDE prototype that connects file reading, code execution, and search tools through an MCP server, and provide module breakdown and development steps.
A prototype plan for an AI IDE with architecture, core modules, and implementation steps.
I am building a coding assistant. Explain how to use core to connect multiple MCP tool servers for unified tool discovery, invocation, and error handling, and provide an example workflow.
A multi-MCP integration plan including invocation flow, error handling, and sample interactions.
Create a technical architecture for a team-oriented AI-native IDE using core as the foundation, focusing on the MCP client, tool extension mechanisms, and iteration recommendations.
A technical architecture description and version roadmap suitable for a team product launch.
Connect to the mcp API via MCP to extend AI tool capabilities.
Build MCP servers quickly to expose app data and actions to AI clients.
Build, debug, and manage software tasks with natural language across LLMs.
Create and run custom multi-language tools dynamically for MCP clients.
Call tools like weather lookup via MCP with reusable resources and prompts.
Build and extend MCP servers with plugins for API-powered capabilities.