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Expose your app functions to AI agents like Claude with minimal setup.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-connect" yet — see the docs or source repo.
I have an internal app with functions for checking orders, creating tickets, and fetching user profiles. Using mcp-connect, design an MCP server to expose these functions to Claude Desktop, and provide sample configuration and code structure.
A design for the MCP server, function exposure approach, sample configuration, and project code structure.
Please wrap my existing REST API as MCP tools callable by AI agents using mcp-connect, including input parameter definitions, error handling, and a weather lookup example.
An API-to-MCP mapping plan, parameter schemas, error-handling guidance, and a sample implementation.
I want to validate an MCP integration quickly. Using mcp-connect, provide a minimal runnable example that exposes two simple functions, and explain how to connect and test it in Claude Desktop.
Minimal example code, startup steps, Claude Desktop connection config, and testing instructions.
Switch between MCP configuration profiles directly inside Claude Desktop.
Build MCP apps and agent servers for leading AI assistants faster.
Connect GitHub and local files to share standards, docs, and prompts with AI.
Turn CLI tools or REST APIs into MCP servers for Claude.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Connect Claude Code with other AI agents for messaging and capability discovery.