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Connect to the mcp API via MCP to extend AI tool capabilities.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp" yet — see the docs or source repo.
Use the mcp server to connect to the mcp API, list available tools, and explain each tool's inputs and purpose.
A list of available tools with parameter details and suggested use cases.
Check whether the current mcp API connection is working; if it fails, provide possible causes, diagnostic steps, and fixes.
A connection status report with actionable troubleshooting and remediation steps.
Create a minimal working integration example for the mcp API, including connection, tool invocation, and error handling.
Reference-ready sample code with a brief integration explanation.
Call tools like weather lookup via MCP with reusable resources and prompts.
Connect to Jupyter via MCP to run code and explore data interactively.
Access multiple AI providers in one terminal for generation, search, and comparison.
Let AI perform calculations, search knowledge, and handle basic email tasks.
Publish, author, and reuse AI tools and skills via MCP and REST.
Build, debug, and manage software tasks with natural language across LLMs.