Building an AI Agent with MCP, Anthropic, and Langchain Adapters

Learn how to create a powerful AI agent by combining MCP servers with Anthropic and Langchain adapters for enhanced functionality and integration capabilities.

A new article on dev.to details the creation of a multi-functional AI agent using three specialized MCP servers. The agent leverages Anthropic and Langchain adapters for enhanced capabilities.

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ai-agents
guide

AI Agent Security: Permissions, Audit Trails & Guardrails

AI agent security is the discipline of constraining what an autonomous system can do, proving what it did, and preventing it from doing the wrong thing at the wrong time. This guide breaks down permissions, audit trails, and guardrails you can ship with confidence.

2026.01.27 | 9 MIN READ
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ai-agents
guide

Claude vs Gemini vs Grok: Choosing the Right LLM for Agents

Claude vs Gemini vs Grok is a practical model-selection question for teams building tool-connected AI agents. We compare how each model tends to behave in agent loops, then anchor the decision with a table you can reuse in reviews.

2026.01.27 | 8 MIN READ
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ai-agents
guide

Model Context Protocol (MCP) Server Guide: Build Tool-Connected AI

An MCP server is a small integration layer that lets AI models call real tools—safely, consistently, and with clear boundaries. This guide explains what MCP servers do, where they fit in an agent stack, and the implementation checklist we use to ship them without surprises.

2026.01.27 | 9 MIN READ