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Build MCP apps and agent servers for leading AI assistants faster.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-use" yet — see the docs or source repo.
Use mcp-use to scaffold a minimal MCP app prototype for ChatGPT, including project structure, core modules, startup steps, and sample code.
A quick-start MCP app prototype plan with folder structure, sample code, and run instructions.
Using mcp-use, design an MCP server for AI agents, covering API wrapping, tool registration, authentication approach, and deployment advice.
An MCP server development plan for agents, including interface design, tool organization, and deployment considerations.
Use mcp-use to plan a full-stack integration from frontend app to backend MCP service, including tech choices, development steps, testing checkpoints, and launch preparation.
A complete full-stack MCP integration checklist for collaborative development and delivery.
Build, debug, and manage software tasks with natural language across LLMs.
Connect to the mcp API via MCP to extend AI tool capabilities.
Turn CLI tools or REST APIs into MCP servers for Claude.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Build high-quality MCP servers that connect LLMs with external APIs safely.
Build MCP servers and custom agent tools faster with a development framework.