Posts Tagged "MCP"

The DevTo AI Agent leverages the power of Agent-to-Agent (A2A) communication and Model Context Protocol (MCP) to automate and streamline interactions with the Dev.to platform. It enables tasks like article creation, user profile management, comment handling, and follower analysis.

This blog explores the combined implementation of Agent-to-Agent (A2A) and Model Context Protocol (MCP) to enable dynamic communication and tool usage across autonomous AI agents to retrieve real time stock market data.

Explore how to interact with AI agents using the Agent-to-Agent (A2A) Protocol via CLI and UI. Learn to set up, register, and communicate with agents for seamless multi-turn conversations.

In a world moving toward autonomous AI ecosystems, the Agent-to-Agent (A2A) Protocol enables seamless collaboration between agents across platforms. This blog explores how A2A complements Anthropic’s Model Content Protocol (MCP) to unlock scalable, multi-agent intelligence.

In this post, we go beyond the basics and explore real-world MCP server integrations—including time conversion, Slack automation, and GitHub management—using official tools from Anthropic.

MCP (Model Context Protocol) is an emerging AI concept that allows AI models to interact directly with external services like GitHub, Figma, and Slack, automating tasks and expanding their functionality. Introduced by Anthropic in late 2024, MCP has the potential to revolutionize how we use AI, making it more integrated and efficient in daily workflows.