mcp

MCP for project management

The Model Context Protocol (MCP) is becoming the standard way to connect AI tools to real systems — including the system where your team plans and delivers work. Instead of pasting context into prompts, an MCP client like Claude, Cursor, or Claude Code reads your actual projects, documents, and missions, and acts on them under real permissions.

This hub collects everything we publish on MCP: explainers of the protocol itself, integration guides, and analyses of what MCP changes for AI coding tools and project delivery. Every article is dated, reviewed, and updated as the ecosystem moves.

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Featuredguidemcpai

MCP for AI Coding Tools in 2026: What Actually Changes

A practical guide to MCP for AI coding tools: architecture, client support, security, workflows, limitations, and an evaluation checklist for 2026.

April 5, 202611 min read

guidemcpai

How to Connect AI Agents to Stellary via MCP

Connect Cursor, Claude Code, Claude Desktop, or an external agent to Stellary through MCP, with the right endpoint, identity, permissions, and autonomy mode.

Mar 28, 20266 min read

mcpaiguide

MCP Explained: How the Model Context Protocol Works

A practical explanation of MCP architecture, tools, resources, transports, permissions, and the compatibility limits teams should understand before connecting AI to work systems.

Mar 5, 20266 min read

productguidemcp

API-First Project Management: Why You Need an API

Why API-first PM tools outperform closed ecosystems. How REST APIs, MCP, and programmable workflows enable modern project operations.

Feb 5, 20264 min read

aimcpproduct

Why Context Matters for AI Project Assistants

Learn how fresh, scoped, attributable project context improves AI assistants—and why retrieval, memory, permissions, and model training are different systems.

Jan 20, 20267 min read