What Is the DevStride MCP Server?

The DevStride MCP Server connects your AI assistant — Claude, ChatGPT, Cursor, and others — directly to your DevStride workspace. Once connected, you can talk to your work in plain language: ask "What am I working on this week?", "Which of my items are blocked?", or "Draft a status update for leadership" — and your assistant uses DevStride's own tools to answer, and to make changes when you ask it to.

MCP stands for Model Context Protocol, an open standard for connecting AI assistants to the tools and data they work with. DevStride ships a built-in MCP server, so there's nothing to host or maintain — you simply point your AI client at it.

What makes it different

Most project-management AI integrations stop at looking up tickets and making simple edits. The DevStride MCP Server was built around real operational execution and portfolio coordination — so your assistant can help you run delivery, not just search it. With it, your assistant can:

• Query and summarize work in natural language — no IDs or technical syntax required.
• Make bulk updates across large sets of items in one pass.
• Rank and reorganize work across boards, lanes, cycles, and your item hierarchy.
• Work with roadmaps and initiatives as first-class objects — including building a Gantt timeline.
• Help you spot risks, bottlenecks, and workload imbalances by reasoning over your live delivery data.
• Run planning-hygiene checks that flag items missing estimates, owners, or dates.
• Track time — start, stop, and log time entries through conversation.
• Navigate your portfolio by name — boards, teams, people, and items, without looking up IDs.

This turns your AI assistant into a delivery partner that can assist with status reporting, prioritization, cross-team alignment, roadmap planning, and day-to-day execution.

What it connects to

The MCP Server works with the major AI clients, including Claude (web and Claude Code), ChatGPT, Cursor, Copilot, Codex, and Gemini CLI. You connect once per client, and your assistant works within the permissions you already have in DevStride.

Where to go next

• Setting Up Your Connection — connect your AI client in a few minutes.
• Doing Real Work with the DevStride MCP Server — ready-to-use prompts and a worked example.
• Best Practices & Tips — get the most out of it.