MCP Project Management

    MCP Project Management forAI Agents and Assistants

    Akievo speaks the Model Context Protocol, so your AI tools can read and change real project data instead of guessing.

    When this helps

    • You work in Claude, ChatGPT or another MCP client all day
    • You want AI agents to update project status without a human relaying it
    • You're building an automation around your projects
    • You need an audit trail of what an agent changed

    What an MCP client can do

    Once connected, your AI client works with the same boards your team uses.

    • Create boards, lists and cards
    • Move cards, set due dates and assign owners
    • Query what's overdue, blocked or unassigned
    • Add comments and checklists

    Three ways to connect

    MCP over HTTP for AI clients, webhooks for event-driven automation, and a REST API with OpenAPI docs for everything else. API-key authentication works for headless and command-line clients.

    Scoped and auditable

    Agents only see the data they're scoped to, and every change is recorded in the board's activity history.

    Example: a standup with Claude

    1. 1Connect Akievo's MCP server in your client's settings
    2. 2Ask: "What's overdue on the launch board?"
    3. 3Follow up: "Move the API tasks to next week and tell me what that delays"
    4. 4Review the changes in the board's activity history

    MCP, webhooks and the REST API are available across plans; API keys are managed from your account. Full plan details. Last reviewed: September 2026.

    Questions about mcp project management