Use Cases
MCP with Claude: Basics, Quick Tutorial, and Top 10 MCP Servers
What Is Model Context Protocol? Model Context Protocol (MCP) is an open-source standard from Anthropic that allows AI models, including Claude, to securely interact with local data, external tools, and databases, such as GitHub, Google Drive, or Slack. It functions as a connector (“bridge”) for components like Claude Desktop or Claude Code, enabling capabilities like […]
MCP Compliance: Model Context Protocol in Regulated Industries
What Are Key Compliance Considerations for Model Context Protocol (MCP)? Model context protocol (MCP) compliance refers to the efforts to ensure an MCP server operates in accordance with regulatory, security, and data governance requirements. MCP servers allow AI models to interact with external resources, such as internal databases, applications, and APIs, by providing them with […]
MCP Security Best Practices: The Complete 2026 Guide
MCP security best practices for enterprises: six core risks, a five-layer defense-in-depth framework, and how to evaluate MCP security solutions.
MCP vs. A2A: Examples, Key Differences, and How to Choose
This is part of a series of articles about Model Context Protocol. Introducing MCP and A2A MCP (Model Context Protocol) and A2A (Agent-to-Agent Protocol) are both AI agent protocols that are considered complementary to each other. MCP focuses on an agent’s interaction with tools, while A2A focuses on collaboration between multiple agents. MCP allows an […]
Model Context Protocol: Principles, Use Cases, and Key Technologies
Learn what Model Context Protocol (MCP) is, how it enables AI models to connect with tools and data, and explore its architecture, use cases, and key technologies.
Building with MCP: Anthropic Guidance and Code Execution in Claude
What Is the Model Context Protocol (MCP) by Anthropic? This is part of a series of articles about the Model Context Protocol. The model context protocol (MCP) is a framework introduced by Anthropic for its language models, such as Claude. MCP improves dynamic tool use by enabling language models to interact with code execution environments […]
How MCP Servers Work, Use Cases and Notable Examples
Learn what MCP servers are, how they connect AI agents to data and tools, and why they're essential for secure, scalable Model Context Protocol integrations.
ChatGPT Advanced Data Analysis (Code Interpreter): Practical Guide
Unlock the power of the ChatGPT Advanced Data Analysis tool — formerly Code Interpreter — to clean, analyze and visualize your data without writing Python. Get practical guidance.
Anthropic Claude API: A Practical Guide
Dive into the Claude API – learn to integrate Anthropic’s Claude models into your apps: discover how Claude and Obot can help you build agents, handle prompts, and scale real-world workflows.
Code Interpreter: Traditional vs. LLM Use Cases & Top 5 Tools
Learn the differences between traditional and LLM code interpreters and find the top five tools to support analysis, automation and data tasks.
Top 10 RAG Tutorials in 2024 + Bonus LangChain Tutorial
What Is Retrieval Augmented Generation (RAG)? Retrieval-augmented generation (RAG) combines large language models (LLMs) with external knowledge retrieval. Traditional LLMs generate responses based solely on pre-trained data. With RAG, the model can access updated and specific information at the time of inference, providing more accurate and context-rich responses. This method leverages repositories of external data, […]
Open Interpreter: How It Works, Supported LLMs & Getting Started
Explore the capabilities of the Code interpreter, an open-source tool for working with large language models on your local machine.