Tag
Model Context Protocol
Model Context Protocol (MCP) is a standard way for AI assistants to connect to tools and data sources, across local, HTTP, and WebSocket transports with credential handling. It matters for browser sessions, governed customer data, trading, and BI integrations.
14 articles
MCP servers turn AI tools into connected workflows
MCP servers give AI apps a standard way to find tools, data, and prompts across systems without custom integrations.
Power BI MCP servers bring AI to model work
Microsoft’s preview Power BI MCP servers let AI agents query semantic models remotely or edit models locally.
89.2k-star MCP server directory for tool builders
89.2k-star directory of MCP servers that helps builders find, compare, and wire up external tools fast.
Anthropic’s MCP observability is the right move for real agent ops
Anthropic’s new MCP observability tools are the right move because agent platforms need tool-level debugging, not just chat metrics.
MCP Stateless RC shifts server design fast
4 MCP changes in the 2026 RC push servers toward stateless HTTP and away from session-based routing.
7 MCP changes for agent builders
7 MCP updates make agent systems easier to run, inspect, secure, and extend, with the 2026-07-28 release candidate leading the way.
How to use Roboflow MCP in Claude Code
Use Roboflow MCP with Claude Code to create, train, and run computer vision Workflows from the terminal.
5 facts about Model Context Protocol for builders
5 facts explain how Model Context Protocol standardizes AI-to-tool connections, with Anthropic launching it in November 2024.
Microsoft Agent Framework Adds MCP Tool Options
Microsoft’s Agent Framework now supports MCP over stdio, HTTP, and WebSocket, with runtime headers and tighter credential handling.
Zocks Brings MCP to ChatGPT and Claude
Zocks is rolling out MCP access for ChatGPT and Claude, aiming to cut copy-paste workflows and keep advisor client data governed.
Preset MCP adds enterprise controls to Superset
Preset wraps Apache Superset MCP with OAuth 2.0, workspace isolation, Chatbot, and Kubernetes deployment for production use.
Supabase MCP lets AI query your projects
Supabase’s MCP server connects AI tools to projects, databases, logs, and Edge Functions, with read-only mode and project scoping.
MCP Explained: From Prompts to Production
MCP lets AI apps request data, tools, and confirmations with tighter control. Zoho breaks down how it moves assistants into production workflows.
MCP Standard in 2026: Integrating AI Tools
MCP in 2026: how teams adopt Model Context Protocol for AI tool integration, ensure safe rollouts, and connect hosts with servers.