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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.

MCP: what it is, what changed, how to connect
The MCP servers worth connecting to Claude Code (and the order to add them)
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The MCP servers worth connecting to Claude Code (and the order to add them)

Ten MCP servers that earn their place in a Claude Code setup — repository, docs, browser, database, project tool — what to allow, and the order to add them.

6 min read
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MCP vs REST API: which architecture should you choose for AI agents?
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MCP vs REST API: which architecture should you choose for AI agents?

MCP or REST API for an AI agent? Choose based on who picks the operation: the code, the model, or both in a hybrid architecture.

10 min read
MCP for AI Coding Tools in 2026: What Actually Changes
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MCP for AI Coding Tools in 2026: What Actually Changes

MCP connects Claude Code, Codex and IDEs to project context. Learn the transports, permissions and first connection check before a coding mission.

13 min read
How to Connect AI Agents to Stellary via MCP
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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.

6 min read
MCP Explained: How the Model Context Protocol Works
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MCP Explained: How the Model Context Protocol Works

MCP explained in practice: architecture, tools, resources, transports, permissions, and the compatibility limits to know before connecting AI to work systems.

7 min read
API-First Project Management: Why You Need an API
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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.

5 min read
Why Context Matters for AI Project Assistants
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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.

7 min read
All articles (7)
  1. The MCP servers worth connecting to Claude Code (and the order to add them)
  2. MCP vs REST API: which architecture should you choose for AI agents?
  3. MCP for AI Coding Tools in 2026: What Actually Changes
  4. How to Connect AI Agents to Stellary via MCP
  5. MCP Explained: How the Model Context Protocol Works
  6. API-First Project Management: Why You Need an API
  7. Why Context Matters for AI Project Assistants