WorkBuddy + Hy4: A Practical Game-Prototyping Workflow
How to evaluate WorkBuddy and Hy4 for game prototypes across engine state, MCP actions, visual quality, testing, and clean hand-off.
Tag: #mcp
WorkBuddy MCP Setup: Connect Tools Without Handing an Agent the Whole Machine
A practical WorkBuddy MCP guide covering user and project configuration, permissions, credentials, testing, and failure recovery.
AI Agent Stack 2026: Claude, OpenAI, Gemini, MCP, and the Runtime Layer
A practical map of the 2026 AI agent stack: model providers, tool protocols, Skills, orchestration, and runtimes, with a clear guide to where each layer belongs.
X/Twitter API for AI Agents: Search, Trends, Tweet Detail, and Profiles
A practical guide to using X/Twitter search, trends, tweet detail, and profile data in AI agent workflows with SandBase, including boundaries, retries, caching, and safe tool design.
Claude Agent SDK: Python, TypeScript, Pricing & Setup (2026)
Claude Agent SDK setup guide for Python and TypeScript: installation, pricing, agent loop, permissions, MCP, sessions, and production gateway choices.
GitHub MCP Server Guide (2026): Setup, Toolsets & Security
Learn how to configure GitHub's official MCP Server with toolsets, read-only mode, OAuth, and lockdown controls for Copilot, Claude, and production coding agents.
Build an Auditable Research Agent: Evidence Ledgers, Sandboxes, and Replay
A reproducible workflow combining a portable research Skill with sandboxed execution, audit trails, and replay using two open-source SandBase projects.
SandBase CLI: One MCP Bridge for 25 AI Client Targets
Install the open-source SandBase CLI, connect Codex, Claude Code, Cursor, Gemini CLI, and other AI clients, and expose six MCP tools for a catalog of 2,000+ models and APIs.
SandBase Managed Agents: Open-Source CMA-Compatible Runtime
SandBase Managed Agents is an open-source, local-first agent runtime with CMA-compatible APIs, multiple sandbox backends, and model-agnostic design.
MCP Stateless Migration Guide: 2026-07-28 Spec
A step-by-step guide to migrating your MCP server from the session-based model to the new stateless 2026-07-28 spec. Includes before/after code, checklists, and FAQ.
Agent Plugins: The Portable Plugin Standard Explained
Agent Plugins is a new open standard for portable AI agent plugin packages. One format, every client. Learn how plugin.json, skills, and MCP servers fit together.
Cloudflare Workers: The Natural Home for MCP v2
How Cloudflare's serverless platform became the perfect deployment target for stateless MCP servers, with updated SDKs and zero-config scaling.
GitHub Copilot Agent Mode (2026): Setup, Pricing, MCP & Limits
Learn GitHub Copilot Agent Mode setup, MCP tools, permissions, pricing and runtime limits, with Microsoft Agent Framework examples for .NET and Python.
MCP Goes Stateless: How Google Scaled Agent Infra
Google led the biggest MCP spec change since launch—removing stateful sessions entirely. Here's how the 2026-07-28 spec makes MCP cloud-native.
MCP Goes Stateless: The 2026-07-28 Spec, Explained
The MCP protocol dropped sessions and went stateless on July 28, 2026. What changed, why it matters for production agents, and how to migrate your servers.
MCP Protocol Explained: AI Agent Tool Standard
The MCP protocol gives AI agents a standard way to discover and call tools. How it works, how to build a server, and the ecosystem in 2026.
Best MCP Servers for AI Agents in 2026
The 7 best MCP servers for AI agents in 2026, ranked. Composio, Zapier MCP, Arcade, Workato compared on tool count, latency, and agent compatibility.
MCP Execution Boundaries for Production Agents
MCP execution boundaries help production AI agents use tools safely. Learn what to control after tools are connected and before loops run.
Build a Custom MCP Server for Data Analysis in 30 Minutes
Build a custom MCP server that lets any AI agent run data analysis on your CSVs and databases. A complete, runnable TypeScript walkthrough.
MCP vs Function Calling: Which Tool Integration to Use
MCP vs function calling for AI agents: they solve different layers of the same problem. When to use each, how they compose, and the token-cost trade-off.
Connecting MCP Servers to Your AI Agent (2026 Guide)
Step-by-step guide to connecting MCP servers to your AI agent. Setup, authentication, tool discovery, error handling, and production deployment patterns.