🔌 MCP & AI Protocols

How VS Code 1.135's Agent Host, external sessions, AHP, and Agent Plugins 1.0 fit together—and which

The 8 best AI models for building autonomous agents in 2026: ranked by tool calling accuracy, long-h

How to build long-running autonomous agents with Qwen 3.7: the 35-hour benchmark, 1M context strateg

Step-by-step guide to configure MCP servers in Grok Build. Connect filesystem, GitHub, databases, an

Three ways to give AI models information: retrieval (RAG), memory (conversation history), and tools

Troubleshooting guide for MCP servers: connection failures, tool errors, transport issues, and loggi

Complete guide to authenticating MCP servers: OAuth flows, API key management, token handling, and s

Should you build an MCP server or a custom integration? Comparison of effort, flexibility, and maint

The most common tool calling patterns: sequential, parallel, conditional, and recursive. With code e

Step-by-step guide to adding MCP servers to Claude Code. Install, configure, and use MCP tools in yo

Step-by-step guide to adding MCP servers to Cursor IDE for tool integration.

The security risks of MCP: prompt injection, data exfiltration, privilege escalation, supply chain a

Build a working MCP server from scratch in Python. Define tools, resources, connect to Claude and Cu

Build a working MCP server from scratch in TypeScript. Define tools, resources, and prompts. Connect

The complete guide to Model Context Protocol for developers. Architecture, building servers, connect

Build an MCP server that gives AI safe, read-only access to your PostgreSQL database. With query val

Build an MCP server that connects AI to Slack. Send messages, read channels, search history from Cla

How to use MCP servers to build RAG pipelines. Connect AI to vector databases, document stores, and

Kimi K2.7 Code scores 81.1% vs Claude Opus 4.8's 76.4% on MCPMark. Compare tool use, benchmarks, pri

MCP and function calling both let LLMs use tools. Here's when to use each, how they differ, and whet

Complete comparison of the three AI agent protocols: MCP (tools), A2A (agent-to-agent), and ACP (com

Week 26 of my AI tool series. MCP Hub is a central registry for Model Context Protocol servers. Afte

Expose useful website actions through WebMCP site tools without bypassing authentication, approvals

Fix MCP server permission errors. Covers file access, API keys, and authentication issues.

Fix MCP server context overflow errors. Covers output truncation, pagination, and streaming.

Fix MCP server tool call failures. Covers tool definitions, parameter validation, and API compatibil

Fix MCP server connection errors. Covers server startup, port conflicts, configuration issues, and t

Muse Spark 1.1 is Meta's first paid AI model at $1.25/$4.25. Native subagent orchestration, MCP, and

Secure AI traffic with TLS: certificates, service identity, gateways, MCP connections, streaming res

Deep technical guide to Apple's Language Model Protocol. Learn how to implement LanguageModelExecuto

Document AI APIs with runnable quickstarts, streaming events, tool schemas, model capabilities, jobs

Design reliable AI APIs for streaming, tool calls, asynchronous jobs, structured outputs, idempotenc

Quick reference for MCP: server setup, tool definitions, client configuration, debugging, and integr

How AI agents communicate with each other using Google A2A, Anthropic MCP, and shared workspace patt

Where AI protocols are heading: standardization, the Linux Foundation, and why protocols may matter

How to run MCP servers with self-hosted models for complete GDPR compliance. Keep all data in your i

Simple explanation of tool calling: how AI models like Claude and GPT execute functions, query datab

The most useful community MCP servers: GitHub, Slack, databases, file systems, web search, and more.

The essential security checklist for deploying MCP servers in production. Input validation, auth, sa

Simple explanation of A2A: Google's protocol for AI agents to communicate with each other. How it wo

Simple explanation of MCP (Model Context Protocol): the USB-C standard for AI. How it connects AI mo

Safely handle malformed model JSON, structured outputs, tool responses and API errors with validatio

Diagnose TLS handshake failures across AI APIs, model gateways, MCP servers, load balancers, proxies

Use TypeScript to build reliable AI clients, streaming APIs, tool calls, MCP integrations and schema

Handle Zod validation failures in TypeScript AI apps, tool calls and structured model responses with

Use OAuth safely for AI agents and remote MCP servers. Understand authorization code with PKCE, scop