“mcp”
MCP Concepts Explained: Tools, Resources, and Prompts
A developer-friendly explainer of the Model Context Protocol — tools, resources, prompts, and how MCP connects AI applications to external systems.
Building an MCP Server with the Python SDK
Build a production-ready MCP server using the Python SDK. Expose tools, resources, and prompts to AI agents through the Model Context Protocol.
The Agentic Web: Why Sites Are Becoming Agent-Ready
Explore how the Model Context Protocol is transforming websites from static pages into agent-ready interfaces that AI systems can navigate, understand, and act upon.
Tools as a Service: Exposing Internal APIs to Agents via MCP
Transform internal APIs into MCP tools that any AI agent can discover and use. Cover API-to-MCP mapping, schema generation, and multi-tenant tool exposure.
MCP Servers in Production: Authentication, Discovery, and Scale
Production-grade MCP server deployment with OAuth authentication, service discovery, load balancing, and horizontal scaling. Real-world patterns for MCP at scale.
Building an Agentic Support System End-to-End
Build a complete agentic customer support system using MCP servers, tool orchestration, and multi-step reasoning. From architecture to production deployment.
How to Connect Your Local Filesystem to ChatGPT with MCP
A complete guide to connecting your local filesystem to ChatGPT using Model Context Protocol (MCP), including setup, security best practices, and architecture patterns.
A2A Protocol in Practice: Cross-Organization Agent Collaboration
Connect agents built on different frameworks and owned by different teams with the Agent2Agent protocol. Learn Agent Cards, discovery, delegation, and secure cross-org collaboration.
Building for the AI Web: llms.txt, MCP, and Agent-Friendly Sites
AI agents are the new crawlers. How to signal discoverability with llms.txt, expose capabilities via MCP server cards, control bot access, and make your site readable by machines.
Agentic Workflows with the Model Context Protocol (MCP)
A single prompt is not a workflow. Learn how to build multi-step agentic workflows on top of the Model Context Protocol: planning loops, tool chaining, human-in-the-loop gates, and orchestration patterns that survive production.
Observability for Agents: Tracing Tool Calls and Reasoning
An agent is a loop, not a single API call. Instrument it with OpenTelemetry AGENT/LLM/TOOL spans and a shared trace_id so you can attribute bad reasoning, slow dependencies, and tool failures.
Connecting MCP Tool Servers to ADK Agents
Connect Google ADK agents to Model Context Protocol (MCP) tool servers to seamlessly access pre-built integrations like SQLite, GitHub, Slack, and Google Drive without writing custom wrappers.
An Introduction to Deep Agents: Building Multi-Step Autonomous LLM Systems
Discover how Deep Agents simplifies building LLM applications with built-in planning, sandboxed file systems, subagent spawning, and persistent memory.
The Model Context Protocol (MCP) in 2026: Native Support in Gemini 3
Explore the revolution of the Model Context Protocol (MCP) in 2026 and see how Gemini 3s native support creates a secure, standardized, and unified tool mesh across disparate data silos.
llms.txt: A Better Way to Make Your API Docs AI-Friendly
How the llms.txt standard is revolutionizing API documentation for AI agents like Gemini 3 and simplifying developer workflows.
RustFS MCP Server: High-Performance S3 Storage for AI Agents
Discover RustFS MCP Server, a high-performance tool providing AI/LLM assistants with standardized, secure access to S3-compatible object storage operations.
The ADK-Rust Tool Ecosystem: Empowering Your AI Agents
Discover the extensive and extensible tool ecosystem in ADK-Rust, from custom functions and browser automation to dynamic UI generation and MCP support.
FunctionTools vs. McpTools in ADK-Rust: Which Should You Use?
Understand the differences between custom Rust FunctionTools and standardized MCP tools for extending your AI agents.
Introduction to AgentGateway: The Open-Source LLM and Agent Workload Gateway
Learn about AgentGateway, a high-performance Rust-based gateway for managing LLM, MCP, and Agent-to-Agent workloads with enterprise-grade security.
Generate MCP Servers from any OpenAPI Specification
Learn how to automatically convert your existing REST APIs into Model Context Protocol (MCP) servers using Go FastMCP and OpenAPI specifications.
Integrate FastMCP with FastAPI Applications
Discover how to effortlessly generate Model Context Protocol (MCP) servers from existing FastAPI applications or mount MCP endpoints within them using FastMCP.