#MCP

Learn to create a scalable, stateless MCP protocol focusing on security and asynchronous workflows.

'A clear comparison of six agent-native rails showing how MCP, A2A, AP2, ACP, x402, and Kite work together to enable secure tools, agent communication, payment authorization, and settlement.'

'Anthropic proposes running model generated TypeScript against filesystem based MCP APIs so large tool outputs stay out of the model context, cutting token usage by orders of magnitude.'

'Google released an experimental Python MCP server that exposes read-only Google Ads API tools (search via GAQL and list_accessible_customers) for LLM agents to query campaign data without custom SDKs.'

Quick guide to choosing between MCP, function calling, and OpenAPI tools for LLM integrations, with decision rules for portability, latency, and governance.

'Delinea released an MCP server that mediates AI-agent access to secrets using short-lived tokens, policy checks, and audit trails to reduce credential exposure while integrating with Secret Server.'

'Google's new Data Commons MCP Server lets AI agents query and generate reports from public statistics via natural language, with quickstarts for Gemini CLI and ADK.'

'Google released a public preview of Chrome DevTools MCP, enabling AI coding agents to interact with live Chrome to record traces, inspect DOM/CSS, run scripts, and validate fixes with real browser telemetry.'

'Azure Logic Apps (Standard) enters MCP public preview, letting teams expose HTTP-based workflows and managed connectors as OAuth-protected agent tools and register them in API Center.'

'A practical roundup of 15 production-ready MCP servers for frontend teams in 2025, covering deployments, design fidelity, observability, and repo automation.'

'Coral v1 delivers an MCP-native runtime, CLI and Studio tooling, and a public registry to enable interoperable AI agents across frameworks, while monetization features remain coming soon'

OpenAI expanded ChatGPT's developer mode with full MCP write support, letting connectors update systems and trigger workflows directly from chat. This turns ChatGPT into an orchestration layer for real work across enterprise tools.

'The MCP team released a preview of the MCP Registry, offering a federated directory for discovering public and private MCP servers. It enables secure internal discovery, centralized governance, and hybrid AI agent scenarios.'

'A concise playbook: 15 evidence-based principles for building resilient, compliant and scalable enterprise AI with agent-driven architectures.'

'Overview of how OAuth 2.1 secures MCP interactions via discovery, registration, and token based access.'

'OpenAI released GPT-Realtime and Realtime API with unified audio processing, SIP phone support and MCP server integration, improving performance and enterprise deployment options while key speech AI challenges remain.'

'MCP aims to be a minimal, composable protocol that standardizes how AI clients discover tools, access context, and coordinate workflows, potentially becoming a universal interoperability layer for agents and assistants.'

'The Model Context Protocol aims to become a universal standard that connects LLMs to live enterprise data, reducing fragmentation, latency, and hallucinations while enabling secure agentic workflows.'

'Learn how to implement an MCP-powered AI agent that combines Gemini's reasoning with external tools for web search, data analysis, code execution, and simulated weather via a modular Python example.'

'AWS launches Bedrock AgentCore Gateway, a managed service that automates converting APIs and Lambdas into MCP tools, adds dual-sided authentication, semantic tool discovery, and full observability to scale enterprise agent integrations.'

'Real-world case studies show context engineering driving error reduction, productivity gains, cost savings, and better user experiences by grounding LLMs with dynamic, multi-source data.'

‘Discover how the Model Context Protocol (MCP) is transforming AI integration in 2025 with standardized, secure connections between AI models and external data sources.’

Anthropic and Google have introduced protocols MCP and A2A to help AI agents interact more effectively and securely with digital tools and each other, addressing major challenges in AI task automation.

The 2025 update on Model Context Protocol (MCP) highlights its role as a secure, open standard for AI integration across AWS, Azure, and Google Cloud with expanding ecosystem and security measures.

Osmosis AI has launched Osmosis-Apply-1.7B, a fine-tuned model optimized for precise, function-level code merges with fewer parameters and strong benchmark results.

'Explore the evolution, architecture, and optimization techniques for API-calling AI agents, including practical workflows and examples for engineering teams.'

Hugging Face offers a free course on the Model Context Protocol, enabling developers to create advanced, context-aware AI applications by integrating large language models with external data sources.

Step-by-step guide to integrate Claude Desktop with Tavily AI and Smithery for real-time web search and content extraction, enhancing AI capabilities with live data.

This article examines the critical role of AI agent protocols in enabling scalable and interoperable communication among large language model agents, highlighting key frameworks and future directions for the Internet of Agents.

This tutorial guides you through setting up exa-mcp-server and Claude Desktop to programmatically fetch LinkedIn profiles using the Model Context Protocol without manual web scraping.

The Model Context Protocol (MCP) is revolutionizing AI integration by standardizing connectivity between AI models, tools, and data sources, enhancing performance and scalability across industries.