$ loading_
Use search, fetching, calculator, and notes tools with LangGraph agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "FastMCP + LangGraph Webinar Demo" yet — see the docs or source repo.
Explain how to connect this MCP tool to a LangGraph agent, and demonstrate using web search, URL fetching, and note saving in sequence to complete a topic research task.
An integration guide and example workflow showing the agent searching, reading, and saving information.
Give me a terminal-based manual test checklist to verify search, web fetching, calculator, and note management functions, and list the expected result for each step.
An executable test checklist covering the main tool capabilities and their expected outputs.
Design a Q&A workflow using this MCP tool: first search for sources, then fetch page content, perform a simple calculation, and finally save the conclusion to notes.
A clear multi-tool orchestration plan describing the tool, input, and final output for each step.
Use search, web fetch, math, and notes in agent demos.
Securely connect LLM agents to downstream microservices through FastAPI MCP tools.
Turn a FastAPI shopping list app into an MCP service for chatbots.
Build MCP agent workflows with NestJS, LangGraph, and flexible model orchestration.
Enable AI agents to search the web and extract useful page content.
Access versatile MCP utilities for text processing, web fetching, and search tasks.