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Run a lightweight MCP server with assistant, weather, math, and text-to-speech tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Server" yet — see the docs or source repo.
Guide me through running this TypeScript MCP Server locally, including installing dependencies, configuring OpenAI or LangChain environment variables, starting the service, and explaining what each built-in tool does.
A step-by-step local setup guide with environment configuration, startup commands, and tool explanations.
Show me an example of using the assist tool to first check the weather, then do a math calculation, and finally format the result into a short text suitable for speech output.
A multi-tool usage example showing the input flow and the final combined result format.
Help me design a flow where a user submits a natural language request, the MCP Server first uses the assistant to structure the content, then passes it to the text-to-speech tool to generate speech-ready text or audio request parameters.
A workflow from natural language to speech output, including prompt design and recommended output structure.
Chat with an AI agent, get weather data, and monitor agent status via MCP.
Call tools like weather lookup via MCP with reusable resources and prompts.
Calculate expressions, check weather, and learn how an MCP server is built.
TypeScript MCP server offering tools, resources, and prompts for LLM integration.
Deploy MCP servers over HTTP for AI-accessible text, math, and content tools.
Manage files, monitor systems, keep notes, and fetch weather via MCP.