The Model Communication Protocol (MCP) is an emerging open standard that allows AI agents to interact with external services through […]
Category: agentic AI
How the Model Context Protocol (MCP) Standardizes, Simplifies, and Future-Proofs AI Agent Tool Calling Across Models for Scalable, Secure, Interoperable Workflows Traditional Approaches to AI–Tool Integration
Before MCP, LLMs relied on ad-hoc, model-specific integrations to access external tools. Approaches like ReAct interleave chain-of-thought reasoning with explicit […]
Building AI Agents Using Agno’s Multi-Agent Teaming Framework for Comprehensive Market Analysis and Risk Reporting
In today’s fast-paced financial landscape, leveraging specialized AI agents to handle discrete aspects of analysis is key to delivering timely, […]
A Step-by-Step Tutorial on Connecting Claude Desktop to Real-Time Web Search and Content Extraction via Tavily AI and Smithery using Model Context Protocol (MCP)
In this hands-on tutorial, we’ll learn how to seamlessly connect Claude Desktop to real-time web search and content-extraction capabilities using […]
Implementing An Airbnb and Excel MCP Server
In this tutorial, we’ll build an MCP server that integrates Airbnb and Excel, and connect it with Cursor IDE. Using […]
Building a Zapier AI-Powered Cursor Agent to Read, Search, and Send Gmail Messages using Model Context Protocol (MCP) Server
In this tutorial, we’ll learn how to harness the power of the Model Context Protocol (MCP) alongside Zapier AI to […]
AI Agents Are Here—So Are the Threats: Unit 42 Unveils the Top 10 AI Agent Security Risks
As AI agents transition from experimental systems to production-scale applications, their growing autonomy introduces novel security challenges. In a comprehensive […]
From ELIZA to Conversation Modeling: Evolution of Conversational AI Systems and Paradigms
TL;DR: Conversational AI has transformed from ELIZA’s simple rule-based systems in the 1960s to today’s sophisticated platforms. The journey progressed […]
Training LLM Agents Just Got More Stable: Researchers Introduce StarPO-S and RAGEN to Tackle Multi-Turn Reasoning and Collapse in Reinforcement Learning
Large language models (LLMs) face significant challenges when trained as autonomous agents in interactive environments. Unlike static tasks, agent settings […]
Building a REACT-Style Agent Using Fireworks AI with LangChain that Fetches Data, Generates BigQuery SQL, and Maintains Conversational Memory
In this tutorial, we will explore how to leverage the capabilities of Fireworks AI for building intelligent, tool-enabled agents with […]