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Build a JWT-secured MCP server and AI agent for tool calling.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Server + AI Agent" yet — see the docs or source repo.
Create a Python MCP server example with JWT authentication, middleware validation, a weather tool, and a Bitcoin price tool. Also explain the project structure and startup steps.
Provides runnable Python MCP server code with auth logic, tool definitions, project structure, and startup instructions.
Implement an AI agent that uses an OpenAI model to reason and automatically call the weather or Bitcoin price tool based on user queries. Provide full code and explain the call flow.
Returns agent code showing the full flow of model reasoning, tool selection, parameter passing, and result synthesis.
Design an integration test plan for this MCP server and AI agent, covering successful and failed JWT authentication, weather tool calls, Bitcoin price tool calls, and troubleshooting advice for common errors.
Outputs an integration testing checklist with scenarios, expected results, sample requests, and troubleshooting guidance.
Chat with an AI agent, get weather data, and monitor agent status via MCP.
Use an AI agent to handle search, files, scraping, and data tasks.
Helps developers build a weather MCP server with secure API key handling.
Get weather forecasts via MCP while learning AI tool integration patterns.
Call tools like weather lookup via MCP with reusable resources and prompts.
Turn any OpenAPI API into callable AI tools with authentication support.