“mcp”
Flutter and AI IDEs in 2026: The 'Add, Don't Replace' Principle in Practice
The Flutter team's 2026 AI stance: three developer personas, four principles, MCP-based agent support, and why hot reload now works inside agents.
Stress Testing MCP Servers Under Real Agent Workloads
Load-testing an MCP server like a REST API measures the wrong things. Model agent-like traffic - discovery bursts, chatty tool sequences, SSE subscriptions - run it with k6, and watch per-method latency, tool error rate, and first-event time.
Exposing Your Payment Gateway as an MCP Tool Server
MCP lets agents call tools — and payments are the scariest tools you can expose. Here is how to structure an MCP tool server over your payment gateway with two-phase approval, idempotency, and least privilege.
Hardening MCP Servers: Input Validation, Rate Limits, and Authentication
A practical hardening guide for production MCP servers: schema-validated tool inputs, payload caps, per-client rate limits with 429 semantics, OAuth 2.1 enforcement, and transport-level controls grounded in the MCP specification.
A2A vs. MCP: Choosing the Right Interop Standard for Your Agents
MCP is vertical, A2A is horizontal. A practical decision framework for when your agent needs tool access, when it needs peer collaboration, and how the two compose.
Policy Enforcement Layers for Autonomous Agents: Guarding Every Tool Call
One guardrail is not a security model. Layer input validation, tool scopes, runtime policy checks, and MCP authorization so every agent tool call passes through defense in depth.
Secrets Handling for Agent Workflows: Vaults, Scopes, and Rotation
Keeping credentials out of model context: OWASP LLM risks, the tool broker pattern, scoped per-tool keys, Vault dynamic secrets and leases, rotation and revocation, and MCP OAuth 2.1 authorization.
Progress Visibility: Streaming Agent Steps and Thoughts to Users
Why silent multi-second agent runs destroy UX, and how to stream step lifecycles, tool calls, and reasoning to the client with the OpenAI Agents SDK, SSE, and MCP-style progress notifications.
Get Started Developing with AI in Flutter
Learn how to set up and use AI agent plugins for Flutter and Dart using your preferred coding assistant.
Flutter AI & Agentic Development in 2026: From Vibe Coding to GenUI
How Dart and Flutter are embracing AI in 2026. From Agentic Hot Reload and MCP servers to GenUI and the A2UI protocol, discover how Flutter is redefining app development for the AI era.
Using MCP Tools with the OpenAI Agents SDK
Connect Model Context Protocol (MCP) servers seamlessly into the OpenAI Agents SDK for Python to power autonomous agent workflows with standardized tools.
Testing MCP Servers: Mock Clients and Schema Validation
Build robust unit and integration test suites for Model Context Protocol (MCP) servers using in-memory mock clients, JSON Schema validation, and pytest.
Versioning MCP Servers: Backward-Compatible Tool Interfaces
Maintain backward compatibility and manage API evolution when updating Model Context Protocol (MCP) tool schemas across multi-agent fleets.
Building a Custom MCP Client for Your Agent Runtime
Build a lightweight, production-ready Model Context Protocol (MCP) client from scratch in Python to integrate external tool servers into custom agent frameworks.
Connecting MCP Tools to LangGraph Agents
Integrate Model Context Protocol (MCP) tool servers dynamically into stateful LangGraph agent workflows using langchain-mcp adapters.
Tracing MCP Tool Calls with OpenTelemetry
Instrument Model Context Protocol (MCP) tool executions and agent workflows with OpenTelemetry distributed tracing for end-to-end observability.
Performance Tuning MCP Servers Under Enterprise Load
Optimize Model Context Protocol (MCP) server throughput, lower tool latency, and manage connection pools for high-concurrency enterprise workloads.
Securing MCP Servers: Tokens, Scopes, and Least Privilege
Secure Model Context Protocol (MCP) servers with token-based authentication, granular OAuth scopes, and least-privilege tool execution policies.
The Complete Guide to ADK-Rust v2: High-Performance Enterprise AI Agents in Rust
A comprehensive deep-dive into ADK-Rust v2, covering core runtime concepts, workflow agent patterns, tools & protocols (MCP/ACP), realtime multimodal audio, and production deployment case studies.
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.