Anthropic-Claude-Collection-2025-07-24

This folder contains a comprehensive collection of Jupyter notebooks focused on leveraging the Anthropic Claude API, a leading LLM (Large Language Model) known for its agentic AI capabilities. The tutorials guide users through fundamental and advanced functionalities, including basic usage, custom tool calling, and integration with structured outputs using Pydantic. Additionally, the resources encompass multi-tool chat management and the implementation of model context protocols (MCP). This package serves as an essential resource for developers and data scientists looking to harness the power of Claude for innovative AI solutions.

You will have access to the following notebooks.

Table of Contents:

1. basic_tutorial.ipynb
   • A foundational tutorial on using the Anthropic Claude API.
2. custom_tool_calling.ipynb
   • Instructions for implementing custom tool calls with Claude API.
3. custom_tool_calling_with_pydantic.ipynb
   • A tutorial focused on utilizing Pydantic for structured outputs in custom tool calls.
4. multi_tool_chat_manager.ipynb
   • Guide on creating custom tool calls alongside multi-tool chat management features.
5. multiple_custom_tool_calling_client.ipynb
   • Instructions for building a Claude API client that supports multiple custom tool calls.
6. multi_tool_client_with_pydantic.ipynb
   • A tutorial on implementing a Claude API client with Pydantic for structured outputs.
7. model_context_protocol_client.ipynb
   • Overview of utilizing the model context protocol in the Claude API client.
8. mcp_with_perplexity_search_server.ipynb
   • Implementing the model context protocol along with a perplexity search server functionality.
9. mcp_with_openfda_endpoint.ipynb
   • Instructions for creating a Claude API client integrating the OpenFDA endpoint with the model context protocol.